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Job_Matcher

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{
  "details": [
    {
      "company_name": "Change Healthcare",
      "date": "3 days ago",
      "full_text": "Transforming the future of healthcare isn’t something we take lightly. It takes teams of the best and the brightest, working together to make an impact.As one of the largest healthcare technology companies in the U.S., we are a catalyst to accelerate the journey toward improved lives and healthier communities.Here at Change Healthcare, we’re using our influence to drive positive changes across the industry, and we want motivated and passionate people like you to help us continue to bring new and innovative ideas to life. If you’re ready to embrace your passion and do what you love with a company that’s committed to supporting your future, then you belong at Change Healthcare.Pursue purpose. Champion innovation. Earn trust. Be agile. Include all. Empower Your Future. Make a Difference.Title: AI Data Scientist Overview of PositionThe Data Scientist will be responsible for supporting Artificial Intelligence, Machine Learning, and Data Science solutions for Change Healthcare, reporting to an AI Data Science leader under the Chief AI Officer.  We’re looking for data scientists with a passion for artificial intelligence to help drive a new generation of data and machine learning enabled services and products to impact healthcare.You will enjoy working with a highly talented and diverse team of data scientists specializing in deep learning, active learning, and classical machine learning, one of the richest data sets in US healthcare, nearly limitless cloud compute resources including Spark clusters and GPUs, and the ability to see your insights turned into real products.The ideal candidate will have a background in machine learning, have experience working with large data sets, and have some experience in building and deploying data-driven innovative AI solutions. You are focused on results, a self-starter, able to put the customer first, team first, and have demonstrated success in using data science to develop and deploy AI solutions with a focus on customer impact.  You also are able to rapidly prototype new ideas and methods to deliver quality code that is testable and concise.What will be my duties and responsibilities in this job?Use AI/ML technologies to innovate current Chang Healthcare operations. The tasks of innovation include, but not limited to: Smart revenue management, Intelligent payment platform, medical chart reading, code reading with noisy and incomplete OCR documents, Conversational AI to facilitate customer services and other healthcare related use casesWork closely with business and operations to understand the business requirements. To be able convert ambiguous requirements to mathematical AI models that can be trained and deployed to solve business problemsHave strong implementation skills to the proposed solutions and work closely with engineering team to create product pipelines that are scalable and flexibleWilling to work in an agile and fast-moving working environmentPassion for learning and innovating at new AI technologies that can facilitate future projectsWhat are the requirements needed for this position?Ph.D. in Computer Science, Math, Physics, Electrical Engineering, Industrial Engineering, Statistics, bioinformatics or other hardcore technical fields with profound mathematical training. Proficient in translating unstructured business problems into an abstract mathematical frameworkFluency in one of the scripting languages, such as: Python, Scalar, PySpark and othersExperience with Spark, MapReduce and other big data processing tools is preferredFamiliar with both SQL and noSQL databases, ability to write efficient queries in SQLExpertise in NLU/NLP, Conversational AIExpertise with one of the Deep Learning platforms, such as, TensorFlow, Pytorch, and KerasExpertise in Knowledge Graph and personalizationAbility to initiate and drive projects to completion with minimal guidanceThe ability to communicate the results of analyses in a clear and effective mannerFamiliar with AWS and its components, such as EMR, S3, EC2, SageMaker. or customer build AI PlatformWhat other skills/experience would be helpful to have?Ph.D. with experiences on medical coding, medical chart reading, entity detection, and other reading comprehension using AI/NLP technologiesPh.D. with experience on big data processing in the areas of Revenue cycle management includes, but not limited to, risk management, payment accuracy, smart reconciliation, etc...Ph.D. with experiences on conversational AI technologies, such as AI model for intent detection, NER, dialog management and other related componentsExperience with medical ontologies, medical Knowledge Graph that links multiple entities, such as patients, providers, and payers. Possess the ability to run large scale inference on top of KG and generate business valuesExperience with medical image processing, diagnosis based on images and narratives using AI technologiesExceptional interpersonal and communication skills, including the ability to describe the logic and implications of a complex model to all types of partners (product managers, engineers, designers, senior executives)What are the working conditions and physical requirements of this job? General office demandsJoin our team today where we are creating a better coordinated, increasingly collaborative, and more efficient healthcare system! Equal Opportunity/Affirmative Action Statement Change Healthcare is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, genetic information,  national origin, disability, or veteran status. To read more about employment discrimination protections under federal law, read EEO is the Law at https://www.eeoc.gov/employers/eeo-law-poster and the supplemental information at https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf.If you need a reasonable accommodation to assist with your application for employment, please contact us by sending an email to applyaccommodations@changehealthcare.com with \"Applicant requesting reasonable accommodation\" as the subject. Resumes or CVs submitted to this email box will not be accepted.Click here https://www.dol.gov/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf to view our pay transparency nondiscrimination policy.Change Healthcare maintains a drug free workplace and conducts pre-employment drug-testing, where applicable, in accordance with federal, state and local laws.",
      "index_position": 0,
      "job_title": "Data Scientist",
      "location": "\n\r\nSeattle, WA\r\n\n",
      "matching_text": "accuracy, ai, ai ml, artificial, computer, data, data science, deep, deep learning, detection, email, information, interpersonal, learning, machine, machine learning, ml, model, models, national, new, nlp, processing, proficient, projects, python, real, scale, science, services, skills, sql, technical, technology, tensorflow, tools, trained, using, view",
      "number_of_jobs": "(1660 Jobs Found)",
      "original_position": 1,
      "similarity_weight": 0.27,
      "url": "https://job-openings.monster.com/data-scientist-seattle-wa-us-change-healthcare/c02b874d-3ac1-4064-876b-c746d1c37c03",
      "wordcount": 891
    },
    {
      "company_name": "Change Healthcare",
      "date": "3 days ago",
      "full_text": "Transforming the future of healthcare isn’t something we take lightly. It takes teams of the best and the brightest, working together to make an impact.As one of the largest healthcare technology companies in the U.S., we are a catalyst to accelerate the journey toward improved lives and healthier communities.Here at Change Healthcare, we’re using our influence to drive positive changes across the industry, and we want motivated and passionate people like you to help us continue to bring new and innovative ideas to life. If you’re ready to embrace your passion and do what you love with a company that’s committed to supporting your future, then you belong at Change Healthcare.Pursue purpose. Champion innovation. Earn trust. Be agile. Include all. Empower Your Future. Make a Difference.Title: AI Data Scientist Overview of PositionThe Data Scientist will be responsible for supporting Artificial Intelligence, Machine Learning, and Data Science solutions for Change Healthcare, reporting to an AI Data Science leader under the Chief AI Officer.  We’re looking for data scientists with a passion for artificial intelligence to help drive a new generation of data and machine learning enabled services and products to impact healthcare.You will enjoy working with a highly talented and diverse team of data scientists specializing in deep learning, active learning, and classical machine learning, one of the richest data sets in US healthcare, nearly limitless cloud compute resources including Spark clusters and GPUs, and the ability to see your insights turned into real products.The ideal candidate will have a background in machine learning, have experience working with large data sets, and have some experience in building and deploying data-driven innovative AI solutions. You are focused on results, a self-starter, able to put the customer first, team first, and have demonstrated success in using data science to develop and deploy AI solutions with a focus on customer impact.  You also are able to rapidly prototype new ideas and methods to deliver quality code that is testable and concise.What will be my duties and responsibilities in this job?Use AI/ML technologies to innovate current Chang Healthcare operations. The tasks of innovation include, but not limited to: Smart revenue management, Intelligent payment platform, medical chart reading, code reading with noisy and incomplete OCR documents, Conversational AI to facilitate customer services and other healthcare related use casesWork closely with business and operations to understand the business requirements. To be able convert ambiguous requirements to mathematical AI models that can be trained and deployed to solve business problemsHave strong implementation skills to the proposed solutions and work closely with engineering team to create product pipelines that are scalable and flexibleWilling to work in an agile and fast-moving working environmentPassion for learning and innovating at new AI technologies that can facilitate future projectsWhat are the requirements needed for this position?Ph.D. in Computer Science, Math, Physics, Electrical Engineering, Industrial Engineering, Statistics, bioinformatics or other hardcore technical fields with profound mathematical training. Proficient in translating unstructured business problems into an abstract mathematical frameworkFluency in one of the scripting languages, such as: Python, Scalar, PySpark and othersExperience with Spark, MapReduce and other big data processing tools is preferredFamiliar with both SQL and noSQL databases, ability to write efficient queries in SQLExpertise in NLU/NLP, Conversational AIExpertise with one of the Deep Learning platforms, such as, TensorFlow, Pytorch, and KerasExpertise in Knowledge Graph and personalizationAbility to initiate and drive projects to completion with minimal guidanceThe ability to communicate the results of analyses in a clear and effective mannerFamiliar with AWS and its components, such as EMR, S3, EC2, SageMaker. or customer build AI PlatformWhat other skills/experience would be helpful to have?Ph.D. with experiences on medical coding, medical chart reading, entity detection, and other reading comprehension using AI/NLP technologiesPh.D. with experience on big data processing in the areas of Revenue cycle management includes, but not limited to, risk management, payment accuracy, smart reconciliation, etc...Ph.D. with experiences on conversational AI technologies, such as AI model for intent detection, NER, dialog management and other related componentsExperience with medical ontologies, medical Knowledge Graph that links multiple entities, such as patients, providers, and payers. Possess the ability to run large scale inference on top of KG and generate business valuesExperience with medical image processing, diagnosis based on images and narratives using AI technologiesExceptional interpersonal and communication skills, including the ability to describe the logic and implications of a complex model to all types of partners (product managers, engineers, designers, senior executives)What are the working conditions and physical requirements of this job? General office demandsJoin our team today where we are creating a better coordinated, increasingly collaborative, and more efficient healthcare system! Equal Opportunity/Affirmative Action Statement Change Healthcare is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, genetic information,  national origin, disability, or veteran status. To read more about employment discrimination protections under federal law, read EEO is the Law at https://www.eeoc.gov/employers/eeo-law-poster and the supplemental information at https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf.If you need a reasonable accommodation to assist with your application for employment, please contact us by sending an email to applyaccommodations@changehealthcare.com with \"Applicant requesting reasonable accommodation\" as the subject. Resumes or CVs submitted to this email box will not be accepted.Click here https://www.dol.gov/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf to view our pay transparency nondiscrimination policy.Change Healthcare maintains a drug free workplace and conducts pre-employment drug-testing, where applicable, in accordance with federal, state and local laws.",
      "index_position": 1,
      "job_title": "Data Scientist",
      "location": "\n\r\nKeyport, WA\r\n\n",
      "matching_text": "accuracy, ai, ai ml, artificial, computer, data, data science, deep, deep learning, detection, email, information, interpersonal, learning, machine, machine learning, ml, model, models, national, new, nlp, processing, proficient, projects, python, real, scale, science, services, skills, sql, technical, technology, tensorflow, tools, trained, using, view",
      "number_of_jobs": "(1660 Jobs Found)",
      "original_position": 4,
      "similarity_weight": 0.27,
      "url": "https://job-openings.monster.com/data-scientist-keyport-wa-us-change-healthcare/b3430d74-5fea-4399-bdae-558de3446f35",
      "wordcount": 891
    },
    {
      "company_name": "Change Healthcare",
      "date": "3 days ago",
      "full_text": "Transforming the future of healthcare isn’t something we take lightly. It takes teams of the best and the brightest, working together to make an impact.As one of the largest healthcare technology companies in the U.S., we are a catalyst to accelerate the journey toward improved lives and healthier communities.Here at Change Healthcare, we’re using our influence to drive positive changes across the industry, and we want motivated and passionate people like you to help us continue to bring new and innovative ideas to life. If you’re ready to embrace your passion and do what you love with a company that’s committed to supporting your future, then you belong at Change Healthcare.Pursue purpose. Champion innovation. Earn trust. Be agile. Include all. Empower Your Future. Make a Difference.Title: AI Data Scientist Overview of PositionThe Data Scientist will be responsible for supporting Artificial Intelligence, Machine Learning, and Data Science solutions for Change Healthcare, reporting to an AI Data Science leader under the Chief AI Officer.  We’re looking for data scientists with a passion for artificial intelligence to help drive a new generation of data and machine learning enabled services and products to impact healthcare.You will enjoy working with a highly talented and diverse team of data scientists specializing in deep learning, active learning, and classical machine learning, one of the richest data sets in US healthcare, nearly limitless cloud compute resources including Spark clusters and GPUs, and the ability to see your insights turned into real products.The ideal candidate will have a background in machine learning, have experience working with large data sets, and have some experience in building and deploying data-driven innovative AI solutions. You are focused on results, a self-starter, able to put the customer first, team first, and have demonstrated success in using data science to develop and deploy AI solutions with a focus on customer impact.  You also are able to rapidly prototype new ideas and methods to deliver quality code that is testable and concise.What will be my duties and responsibilities in this job?Use AI/ML technologies to innovate current Chang Healthcare operations. The tasks of innovation include, but not limited to: Smart revenue management, Intelligent payment platform, medical chart reading, code reading with noisy and incomplete OCR documents, Conversational AI to facilitate customer services and other healthcare related use casesWork closely with business and operations to understand the business requirements. To be able convert ambiguous requirements to mathematical AI models that can be trained and deployed to solve business problemsHave strong implementation skills to the proposed solutions and work closely with engineering team to create product pipelines that are scalable and flexibleWilling to work in an agile and fast-moving working environmentPassion for learning and innovating at new AI technologies that can facilitate future projectsWhat are the requirements needed for this position?Ph.D. in Computer Science, Math, Physics, Electrical Engineering, Industrial Engineering, Statistics, bioinformatics or other hardcore technical fields with profound mathematical training. Proficient in translating unstructured business problems into an abstract mathematical frameworkFluency in one of the scripting languages, such as: Python, Scalar, PySpark and othersExperience with Spark, MapReduce and other big data processing tools is preferredFamiliar with both SQL and noSQL databases, ability to write efficient queries in SQLExpertise in NLU/NLP, Conversational AIExpertise with one of the Deep Learning platforms, such as, TensorFlow, Pytorch, and KerasExpertise in Knowledge Graph and personalizationAbility to initiate and drive projects to completion with minimal guidanceThe ability to communicate the results of analyses in a clear and effective mannerFamiliar with AWS and its components, such as EMR, S3, EC2, SageMaker. or customer build AI PlatformWhat other skills/experience would be helpful to have?Ph.D. with experiences on medical coding, medical chart reading, entity detection, and other reading comprehension using AI/NLP technologiesPh.D. with experience on big data processing in the areas of Revenue cycle management includes, but not limited to, risk management, payment accuracy, smart reconciliation, etc...Ph.D. with experiences on conversational AI technologies, such as AI model for intent detection, NER, dialog management and other related componentsExperience with medical ontologies, medical Knowledge Graph that links multiple entities, such as patients, providers, and payers. Possess the ability to run large scale inference on top of KG and generate business valuesExperience with medical image processing, diagnosis based on images and narratives using AI technologiesExceptional interpersonal and communication skills, including the ability to describe the logic and implications of a complex model to all types of partners (product managers, engineers, designers, senior executives)What are the working conditions and physical requirements of this job? General office demandsJoin our team today where we are creating a better coordinated, increasingly collaborative, and more efficient healthcare system! Equal Opportunity/Affirmative Action Statement Change Healthcare is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, genetic information,  national origin, disability, or veteran status. To read more about employment discrimination protections under federal law, read EEO is the Law at https://www.eeoc.gov/employers/eeo-law-poster and the supplemental information at https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf.If you need a reasonable accommodation to assist with your application for employment, please contact us by sending an email to applyaccommodations@changehealthcare.com with \"Applicant requesting reasonable accommodation\" as the subject. Resumes or CVs submitted to this email box will not be accepted.Click here https://www.dol.gov/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf to view our pay transparency nondiscrimination policy.Change Healthcare maintains a drug free workplace and conducts pre-employment drug-testing, where applicable, in accordance with federal, state and local laws.",
      "index_position": 2,
      "job_title": "Data Scientist",
      "location": "\n\r\nUs Naval Fleet And I, WA\r\n\n",
      "matching_text": "accuracy, ai, ai ml, artificial, computer, data, data science, deep, deep learning, detection, email, information, interpersonal, learning, machine, machine learning, ml, model, models, national, new, nlp, processing, proficient, projects, python, real, scale, science, services, skills, sql, technical, technology, tensorflow, tools, trained, using, view",
      "number_of_jobs": "(1660 Jobs Found)",
      "original_position": 5,
      "similarity_weight": 0.27,
      "url": "https://job-openings.monster.com/data-scientist-us-naval-fleet-i-wa-us-change-healthcare/6382ec50-adca-484f-88d3-c4189fc2558d",
      "wordcount": 891
    },
    {
      "company_name": "eBay",
      "date": "1 day ago",
      "full_text": "eBay Traffic Engineering team is comprised of like-minded engineers opening up the boundaries to build the next generation platform for eBay. We have already built distributed data platform that manages ~25B documents daily by using open-source cloud technologies.\n  \n\n  \nWe are working on building next generation Machine Learning capability using the data platform built in last few years. This is the technical and critical business problem this team is tasked to tackle, and we are looking for super forward-thinking engineers who are passionate about questioning the limitations and not settling for the status quo.\n  \n\n  \nThe platform is being built by a team that has the culture and the environment technologists find at a startup. We would like to add outstanding Machine Learning specialist with strong Machine learning background experience in finding opportunities in the data and make a significant impact to business.\n  \n\n  \n**What you will be doing:**\n  \n\n  \n+ Join a group of passionate people committed to delivering \"happiness\" to our users and to each other\n  \n+ Lead and mentor data scientists and data engineers and deploy machine learning models that unlock growth.\n  \n+ Building machine learning models to analyze user traffic patterns, perform path analysis and understand the reasons on exiting the site before completing the transactions.\n  \n+ Collaborate and Work with multi-functional teams, Product Management, Technical Support, Documentation and various partners\n  \n+ Analyze/Refine Requirements with Product Management\n  \n+ Work with the leads to implement features, going from brain storming sessions to understand business needs.\n  \n+ Passion to bring out innovative ideas and try out new solutions, while being open minded to feedback from the team\n  \n+ Relentless focus on quality and automation, and provide support to customers of the platform\n  \n+ Work with engineering management to scope and plan engineering efforts\n  \n+ Write complex and efficient queries to transform raw data sources into easily accessible models by coding across several languages such as Python.\n  \n+ Build data expertise and own data quality for the pipelines\n  \n\n  \n**What you bring:**\n  \n\n  \n+ Proficiency in a programming language such as Python, strong algorithms.\n  \n+ Good understanding in Elastic Search, Logstash, Grafana/Kibana to build dashboards\n  \n+ Excellent experience in Machine Learning algorithms, No SQL concepts, CI, CD etc.\n  \n+ Solid understanding of Computer science fundamentals, interested in distributed systems, scalability and open sources systems.\n  \n+ Interacting with databases for functionality.\n  \n+ Background in Computer Science, Math, Statistics, or a related field.\n  \n+ 10+ years of industry experience building ML infrastructure at scale.\n  \n+ Knowledge of machine learning (particularly hyper-parameter tuning and debugging).\n  \n+ Experience serving models using a variety of ML model frameworks like Tensorflow, PyTorch, Sci-kit Learn, etc.\n  \n\n  \n_eBay Inc. is an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status.  If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at_   _talent@ebay.com_  _.  We will make every effort to respond to your request for disability assistance as soon as possible._\n  \n\n  \n_For more information see:_    _EEO is the Law Poster_  and  _EEO is the Law Poster Supplement_\n  \n\n  \nThis website uses cookies to enhance your experience. By continuing to browse the site, you agree to our  _use of cookies (http://www.ebayinc.com/our-company/privacy-center/privacy-notice/cookies-similar-technologies/)_\n  \n\n  \nView our privacy policy (https://careers.ebayinc.com/join-our-team/privacy-policy/)  and accessibility info (https://www.ebayinc.com/accessibility/)  ",
      "index_position": 3,
      "job_title": "Senior Data Scientist",
      "location": "\n\r\nBellevue, WA\r\n\n",
      "matching_text": "computer, data, fundamentals, information, language, learning, machine, machine learning, ml, model, models, models using, national, new, open, problem, python, scale, science, sql, support, technical, technical support, technology, tensorflow, uses, using, view",
      "number_of_jobs": "(1660 Jobs Found)",
      "original_position": 21,
      "similarity_weight": 0.27,
      "url": "https://job-openings.monster.com/senior-data-scientist-bellevue-wa-us-ebay/4b83a517-0e7f-460b-8fbe-7b5890022883",
      "wordcount": 620
    },
    {
      "company_name": "Amazon",
      "date": "3 days ago",
      "full_text": "DESCRIPTIONCompany is seeking a Vice President of Digital Marketing & Infrastructure (DMI) to support our business. COMPANY is the world’s leading cloud provider and has the most comprehensive and broadly adopted portfolio of cloud services. We have the most functionality, the largest and most vibrant community of customers and partners, and the most proven operational and security expertise. COMPANY continually innovates and is equipped to support virtually any cloud workload. The business has more than 180+ fully featured services, including compute, storage, databases, networking, analytics, robotics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, virtual and augmented reality (VR and AR), media, application development, deployment, and management. In the past year alone, we have launched more than 2,000 new services and features. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using COMPANY to lower costs, become more agile, and innovate faster. As the VP of DMI, the leader’s dynamic and progressive approach will drive initiatives that impact the growth of the COMPANY business. This role reports directly to the VP of worldwide marketing for COMPANY, and is responsible for designing, building, and operating the technology infrastructure that powers the global marketing efforts of COMPANY. We are seeking an innovative executive to lead our global marketing infrastructure team to manage the evolution of our marketing technology stack, including owning the architecture and strategy for the COMPANY web site, customer email/communication strategy and database marketing as well as developing and implementing the email, reporting and analytics tools and infrastructure. This includes both the development of custom software and the integration of packaged applications. In addition, this team is responsible for building and operating the BI, analytics, and data science tools used to measure the efficiency, effectiveness, and impact of our global marketing programs. On the engineering side, this role includes both custom software development and integration/extension of packaged tools to automate digital marketing activities across the web, site merchandising, social, and online advertising channels. These systems and tools are used across COMPANY to drive awareness of products and services, power digital campaigns for customer acquisition, driving awareness & adoption of COMPANY services, and nurturing customer success with adoption of our platform. To be successful in this role you’ll need an established background in building highly-scalable and innovative digital marketing systems and processes, solid business judgment, great communication skills, and the ability to achieve results in an agile and quickly evolving environment. You’ll need strong customer relationship skills including the ability to discover the true requirements underlying feature requests from both customers & internal stakeholders. Strong team-building skills are essential as you’ll be managing multiple teams who take input from multiple internal and external stakeholders. You will be expected to motivate and lead a high-performing team globally using the Company Leadership Principles as guideposts by developing and coaching existing teams and retaining top-tier talent, as well as driving recruiting. You will exhibit in words and action a passion for inclusion, diversity and equity. Be not only an active participant, but a leader on Company’s ID&E initiatives. BASIC QUALIFICATIONS20+ years of relevant work experience in a marketing digital leadership position.Deep experience leading teams who both build digital marketing systems and the teams who use these systems to run digital marketing programs.Demonstrated success in product management, and/or project management.Willingness to travel and ability to work independently and autonomouslyBachelor’s degreePREFERRED QUALIFICATIONSA career path that demonstrates increasing levels of responsibility and proven success delivering measurable marketing results.Technical background with previous software development experience.Ability to manage time and juggle multiple priorities to execute high quality deliverablesSuperior oral and written communication skills with an innate attention to detail.Experience working in a fast-paced and highly cross-functional organization.MBA or advanced degree",
      "index_position": 4,
      "job_title": "VP Digital Marketing & Infrastructure",
      "location": "\n\r\nSeattle, WA\r\n\n",
      "matching_text": "achieve, ai, approach, artificial, data, data science, deep, developing, email, high, learning, machine, machine learning, new, online, project, science, services, skills, support, technical, technology, time, tools, used, using, web, world",
      "number_of_jobs": "(1660 Jobs Found)",
      "original_position": 10,
      "similarity_weight": 0.23,
      "url": "https://job-openings.monster.com/vp-digital-marketing-infrastructure-seattle-wa-us-amazon/c51c8700-e286-433b-a7dd-af570c0d784c",
      "wordcount": 619
    },
    {
      "company_name": "VMware",
      "date": "2 days ago",
      "full_text": "The Security Analytics Engineering group is looking to hire a Sr. Data Scientist to help lead the development of cutting-edge machine learning models to better protect our users from malicious actors and improve our customer product experience. We are looking for a hands-on engineering leader with deep data science and software engineering expertise who can help architect and own the platform for deploying and tuning the machine learning models used to protect user authentication and security.\n\nThe teams focuses on using analytics, machine learning, and threat research on petabyte-scale data to deliver security value to millions of business users across thousands of businesses. The product portfolio is a part of the rapidly growing Carbon Black Cloud platform that delivers next-generation endpoint protection capabilities from the cloud. Now with the full resources of VMware, you have the opportunity to make an impact and build upon Carbon Black's success.\n\n**Responsibilities include:**\n\n+ Lead the efforts to define the vision of how Data Science and Machine Learning will be used at Carbon black threat analytics and Alerts management .\n\n+ Use analytical and statistical methods, programming, data modeling, simulation, and advanced mathematics to analyze large amounts of data, recognizing patterns, identifying opportunities, posing security questions, and making valuable discoveries\n\n+ Develop algorithms to detect anomalies, assess risks/threat, classify and prioritize alerts, and group related entities for investigation enhancements\n\n+ Document projects including business objectives, data gathering and processes, leading approaches, final algorithm, and detailed set of results and analytical metrics\n\n+ Work with Data Engineers to design and maintain data processing pipelines to support new decision and scoring models.\n\n+ Provide Architecture guidance and work closely to up-level the Data Science and ML engineering organization.\n\n+ Evangelize the value of Machine Learning and Data Science to upper management and other Engineering teams within the organization.\n\n**What you bring:**\n\n+ Degree MS/PhD in Machine Learning, Computer Science, Electrical Engineering, Statistics, Applied Math, or other quantitative fields\n\n+ 6-8 plus years experience developing data models as a Data Scientist and experience building products backed up ML /AI.\n\n+ Working experience in analytics, data mining, and/or predictive modeling, and data interpretation.\n\n+ Proven track record in modifying and applying advanced algorithms to address security problems in core engineering work.\n\n+ Experience implementing machine learning models, data pipelines and testing frameworks for production use\n\n+ Hands on skills on industry-standard machine-learning stack (Jupyter, pandas, numpy, sklearn, Keras, Spark).\n\n+ Working knowledge of AWS Sagemaker, Lambda, and API Gateway including production deployment\n\n**Bonus** :\n\n+ Experience in big data technologies. (Spark, Flink, MapReduce, HDFS, Hive, Presto, Avro, Parquet, Airflow, etc)\n\n+ Experience in the Security domain is a plus.\n\n**Category :**  Engineering and Technology\n\n**Subcategory:**  Software Engineering\n\n**Experience:**  Manager and Professional\n\n**Full Time/ Part Time:**  Full Time\n\n**Posted Date:**  2021-02-10\n\nVMware Company Overview: At VMware, we believe that software has the power to unlock new opportunities for people and our planet. We look beyond the barriers of compromise to engineer new ways to make technologies work together seamlessly. Our cloud, mobility, and security software form a flexible, consistent digital foundation for securely delivering the apps, services and experiences that are transforming business innovation around the globe.  At the core of what we do are our people who deeply value execution, passion, integrity, customers, and community. Shape what's possible today at http://careers.vmware.com.\n\nEqual Employment Opportunity Statement: VMware is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: VMware is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at VMware are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. VMware will not tolerate discrimination or harassment based on any of these characteristics. VMware encourages applicants of all ages. Vmware will provide reasonable accommodation to employees who have protected disabilities consistent with local law.  ",
      "index_position": 5,
      "job_title": "Senior Data Scientist - Opportunity for Working Remotely",
      "location": "\n\r\nSeattle, WA\r\n\n",
      "matching_text": "ai, computer, data, data science, deep, developing, hands, information, learning, learning computer, level, machine, machine learning, making, mathematics, ml, models, national, new, processing, projects, scale, science, services, skills, support, technology, time, used, using, vision",
      "number_of_jobs": "(1660 Jobs Found)",
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      "url": "https://job-openings.monster.com/senior-data-scientist-opportunity-for-working-remotely-seattle-wa-us-vmware/e9b0ccc5-25be-4304-ac3a-6b97b7f12b7c",
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    },
    {
      "company_name": "Jobot",
      "date": "4 days ago",
      "full_text": "Permanently Remote Role Directly on the Jobot Engineering Team!This Jobot Job is hosted by: Alan ColonAre you a fit? Easy Apply now by clicking the \"Apply at employer's site\" button and sending us your resume.Salary: $120,000 - $200,000 per yearA bit about us:At Jobot, we are building a world class engineering team consisting of top software engineers focused on intelligent technology that unlocks human potential: in our recruiters' lives, in our candidates' careers, and in our clients' missions. Can you rock the full stack like a boss? Do you dream in code, and love building software that makes a difference? Come join us!Why join us? Competitive Base Salary and great benefits! Extremely Fun and Passionate Culture! Recently ranked as a top 10 best place to work by Glassdoor (Small and Mid-Sized businesses)! Flexible Work Schedules and work remotely or in a great office! Accelerated your career at a very successful and fast growing company! Ability to drive the direction of engineering and make a strong impact for the company and industry!Job DetailsIs your background a fit? Apply if you meet this criteria: Bachelor of Science in Computer Science or Engineering with 5+ years of professional software engineering experience. A full stack developer with passion and proficiency in modern front end web development - Vue and similar, strong JavaScript, SQL, CSS/SASS. Comfortable with backend development using Node.js, PostgreSQL, Elasticsearch, AWS. Experience developing against and operating with Amazon Web Services (AWS) preferably or other cloud platforms. Driven, self-motivated, initiative taker.Bonus points: Familiarity with Elasticsearch, Apache Solr, Lucene or similar An interest in machine learning, data science, and AI Experience with containerization and interest in scaling, performance, and automation Previous experience working in recruiting with an Applicant Tracking System (ATS) or job applications is a big plus.We may thrive on human and artificial intelligence, but our values provide the roadmap that informs every interaction.Who are we? We take the job very seriously but do not take ourselves seriously. We believe that kindness is still completely relevant. We believe transparency and a strong team brings the best results for everyone. Our Get a Job Give a Job program helps increase employment across the globe.We use the latest technology combined with a great company culture to give you the ability to succeed and grow as a developer, earn a great living and... get this...take every other Friday off. Yes, every other Friday. So... that means you have 26 3-day weekends a year. Twenty-six.Interested in hearing more? Easy Apply now by clicking the \"Apply at employer's site\" button.",
      "index_position": 6,
      "job_title": "Senior Software Engineer - Node JS, Vue, AWS",
      "location": "\n\r\nSeattle, WA\r\n\n",
      "matching_text": "ai, artificial, computer, css, data, data science, developing, learning, machine, machine learning, performance, program, science, services, sql, technology, using, web, web services, world",
      "number_of_jobs": "(1660 Jobs Found)",
      "original_position": 13,
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      "url": "https://job-openings.monster.com/senior-software-engineer-node-js-vue-aws-seattle-wa-us-jobot/224305683",
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    {
      "company_name": "Widenet Consulting",
      "date": "5 days ago",
      "full_text": "   Job Description  Summary: This person will work within the Data Analytics team that supports data across the enterprise. The team has 35 people on it, ranging from data scientist, reporting engineers, and data engineers. This person will support the Data Management team who are made up of data scientist and machine learning experts using AWS, SageMaker, and Juniper. Because of this, this person will need to have an understanding of machine learning, but they do not need to be an expert. Our Client is in a digital transformation process where they are taking their current platforms and modernizing pieces of it as they go. This position will play a strong role in directing the modernization pieces and helping train people in other teams on this technology. They are still learning the capabilities of AWS with data engineering, and this person will help shape how they use the tool. Because of this, this candidate will need to have strong experience working in this area. They will need to understand that they’ll work in the current platform to keep the lights on as they build and modernize the technology as they go. NOTE: This person is more of an AWS Engineer with a focus in data engineering, Machine Learning, or cloud engineering vs. building out DevOps pipelines/environments in AWS.  Responsibilities:   Solution Architect – this role will not always have a set of requirements to go with the problems. This person will enjoy receiving a business problem and building a solution for it. This could be regarding what technology to use, how to use it, or how to use a current process better, etc.  Building Data Pipelines/integrating services within AWS – This person will have strong experience working with data in AWS. Integrating systems with power BI, Python, visualization tools, cloud formation templates etc.  Training Documentation – This person will create training documentation on the solutions they develop. Clinet has meet up groups internally with technology focused conversations on things like AWS, Python, Data and Machine Learning, and this person will join those meetings and walk them through on the things that are being developed in the group. It’s a great collaboration tool that Client has had success with.  Must Have:  AWS experience – building pipeline, API integration, formation templates, etc. This experience is key to the team as they are still learning how to utilize it for their digital transformation. Strong Python experience Has worked within a data engineering, machine learning or cloud engineer with data focus role Knowledge of SQL server  Reference Number: 5647             ",
      "index_position": 7,
      "job_title": "AWS Data Engineer",
      "location": "\n\r\nSeattle, WA\r\n\n",
      "matching_text": "data, developed, learning, machine, machine learning, person, problem, python, python data, services, sql, support, technology, tools, using, visualization",
      "number_of_jobs": "(1660 Jobs Found)",
      "original_position": 14,
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      "url": "https://job-openings.monster.com/aws-data-engineer-seattle-wa-us-widenet-consulting/224284031",
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    },
    {
      "company_name": "The Walt Disney Company",
      "date": "Posted today",
      "full_text": "Job Summary: Cloud Platform Engineering creates software solutions in the cloud and for Disney teams to operate in the cloud. We enable them to do more in the cloud securely, and in less time. You will be the first Data Scientist to join this team! We do so by providing:  + cloud account provisioning and automation + centralized cloud logging, operational and best practices insights + cloud cost related analytics and avoidance recommendations  Responsibilities:  + Provide data driven solutions for business needs related to enterprise and individual cloud accounts including but not limited to cost analytics and avoidance recommendations. + Answer business questions using cloud data and cloud data analysis tooling. + Design, educate and implement data solutions as scalable cloud solutions. + Understand the current and ongoing landscape of analytical techniques including classic statistical analysis, data modeling, regression, anomalous detection, clustering, contextualization, etc. + Mitigate cognitive biases in generation and presentation of reports and information + Education of stakeholders, teams and leadership + Communicate insights, design and implementation to both technical and non-technical audiences + Partner with internal data experts, developers, and tech teams to develop and maintain existing solutions and create new solutions.  Basic Qualifications:  + + years of hands-on experience designing, building, and evaluating practical data science solutions to solve business problems + 3+ years Python or R + 2+ years in AWS or Azure + 1+ years in machine learning + Experience in data capture, analysis and reporting in a cloud environment + Proven track record of extracting accurate conclusions and identifying trends from quantitative information. + Experience providing and communicating complex quantitative analysis reports and data visualization in a clear, precise, and actionable manner + Experience driving and completing projects through technical leadership in a complex, matrixed organization Skills: + Knowledge and understanding of cloud KPIs regarding cost, usage and operational dimensions + Knowledge and experience with SQL and NoSQL design, DDL and DML. + Knowledge and experience with Big Data management, processing and analysis tools and strategies in Azure and/or AWS + Knowledge and experience with cloud available Machine Learning frameworks and tools such as Tensor Flow , PyTorch, ONNX, etc + Data processing & ML languages (Python, R)  Preferred Qualifications:  + Knowledge and familiarity with data visualization and presentation tools and strategies. + Understanding of data sovereignty and data localization and how they impact implementation for data processing, aggregation, analysis and presentation. + AWS Certification - Machine Learning + MS Certification - Azure Data Scientist Associate + MS Certification - Azure AI Engineer Associate  Required Education  + Masters or equivalent work experience  Job ID:  772673BR Location:  Seattle,Washington Job Posting Company:  Disney Parks & ResortsThe Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.",
      "index_position": 8,
      "job_title": "Sr Data Scientist",
      "location": "\n\r\nSeattle, WA\r\n\n",
      "matching_text": "ai, azure, certification, data, data science, data visualization, detection, education, email, hands, information, learning, machine, machine learning, ml, new, ongoing, online, partner, processing, projects, python, regression, science, skills, sql, tech, technical, time, tools, using, visualization",
      "number_of_jobs": "(1660 Jobs Found)",
      "original_position": 19,
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      "url": "https://job-openings.monster.com/sr-data-scientist-seattle-wa-us-the-walt-disney-company/0615d768-907d-4b9b-8484-11ff2c960adc",
      "wordcount": 542
    },
    {
      "company_name": "Convoy",
      "date": "2 days ago",
      "full_text": "Convoy is transforming the $800 billion trucking industry. Our mission is to transport the world with endless capacity and zero waste. The industry is huge and so is the opportunity to change the way freight moves.The next time you’re out driving and see an 18-wheeler on the road, that truck is empty 35% of the time. When big trucks drive empty, they throw unnecessary CO2 into the atmosphere. In fact, empty trucks generate more than 76 million metric tons of wasted carbon emissions every year. At Convoy, our digital freight network helps reduce those empty miles and cut carbon waste by nearly half.This is your opportunity to collaborate with an incredible group of people and help transform the freight industry. Join Convoy and help move the world forward.About you:We are looking for an experienced Data Scientist to join the Dynamic Pricing Team in Convoy’s Marketplace organization. The Dynamic Pricing Team owns Convoy’s core models for bid optimization and cost prediction that impact both sides of our marketplace. This role has the potential to unlock significant value for the company as we invest in continuous improvement on the fundamental algorithms at the heart of our business and develop new solutions for our ever evolving problem space.Data Science is at the core of Convoy’s platform. We build the models that power freight pricing, shipment offer relevance, auction bidding strategy, and other core services. The breadth of the problems space is huge, spanning machine learning, optimization, causal inference, econometrics, and prediction domains. And we have only begun to dig into the difficult and diverse problems in our two-sided marketplace.You will work on:Maintaining, monitoring and debugging the machine learning production systemsStatistical analysis including experimentation and quasi-experimental analysisData pipelines, processing data and cleaning, exploratory data analysisWriting up learnings and creating technical documentsYou have the following skills and experience:Minimum of 5+ years of industry experience in Data ScienceBS or MS in Statistics, Applied Math/OR, Engineering, Quantitative economics or Finance, or related quantitative subjectExperience with PythonExperience with SQL and ETL pipelinesAbility to break down high level business problems into concrete analytical solutionsExperience with Tableau, Metabase, SQL or other reporting toolsIntelligent but practical; you want to get things done and love simplicityYou’re humble, effective and biased toward action and learningNice to have:Experience in dynamic pricing or automated tradingExperience with two-sided marketplaces (platforms), financial markets and economic theoryExperience with big data tools like Spark, Hadoop etc.Benefits:Employees wellbeing is top of mind for the Convoy team. Outside of offering excellent medical, dental, and vision benefits, we also offer the following: * On demand mental and emotional health benefits through Lyra * On demand primary care through 98.6* Generous paid time off* Paid parental leave program * Fertility benefit solutions via Progyny* Child-care and adult/elder-care options through Bright Horizons* Opportunity to join and contribute to one of our Employee Resource Groups * Ability to make a real world impact!Convoy is an equal-opportunity employer and we welcome applicants from all backgrounds. If you’re a passionate team player who wants to have an outsized impact on a diverse and dynamic team, we’d love to hear from you!",
      "index_position": 9,
      "job_title": "Senior Data Scientist, Marketplace Dynamic Pricing",
      "location": "\n\r\nSeattle, WA\r\n\n",
      "matching_text": "98, data, data science, heart, high, learning, level, machine, machine learning, maintaining, models, new, prediction, problem, processing, program, real, science, services, skills, sql, technical, time, tools, vision, world",
      "number_of_jobs": "(1660 Jobs Found)",
      "original_position": 0,
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      "url": "https://job-openings.monster.com/senior-data-scientist-marketplace-dynamic-pricing-seattle-wa-us-convoy/850b7a3d-5300-4b08-9892-a79085ca0b94",
      "wordcount": 510
    },
    {
      "company_name": "The Judge Group",
      "date": "11 days ago",
      "full_text": "Location:  Seattle, WADescription:  Our client is currently seeking a DATA SCIENTIST - INTERMEDIATE in Seattle, WA, OR San Francisco, Chicago, or St Louis, MOJOB DESCRIPTION--Qualifications:- PhD in a highly quantitative and data-intensive field.- Fluent in Python and strong skills in SQL or pySpark for data processing, exploratory analysis, modeling, and visualization.- Experience documenting or reporting results for communication to stakeholders.- Quick learner with the ability to work across platforms and manage ambiguity in a rapidly evolving domain.- Education or experience in applied agronomy or environmental science (preferred).- Familiarity with package development, test-driven development, REST APIs, and Git (preferred).- Experience applying statistical and/or machine learning modeling methods to high-resolution spatiotemporal datasets (preferred).Contact:sshriyam@judge.comThis job and many more are available through The Judge Group. Find us on the web at www.judge.com",
      "index_position": 10,
      "job_title": "DATA SCIENTIST - INTERMEDIATE",
      "location": "\n\r\nSeattle, WA\r\n\n",
      "matching_text": "data, education, high, intermediate, learning, machine, machine learning, processing, python, science, skills, sql, visualization, web",
      "number_of_jobs": "(1660 Jobs Found)",
      "original_position": 2,
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      "url": "https://job-openings.monster.com/data-scientist-intermediate-seattle-wa-us-the-judge-group/224106524",
      "wordcount": 129
    },
    {
      "company_name": "Convoy",
      "date": "2 days ago",
      "full_text": "Convoy is transforming the $800 billion trucking industry. Our mission is to transport the world with endless capacity and zero waste. The industry is huge and so is the opportunity to change the way freight moves.The next time you’re out driving and see an 18-wheeler on the road, that truck is empty 35% of the time. When big trucks drive empty, they throw unnecessary CO2 into the atmosphere. In fact, empty trucks generate more than 76 million metric tons of wasted carbon emissions every year. At Convoy, our digital freight network helps reduce those empty miles and cut carbon waste by nearly half.This is your opportunity to collaborate with an incredible group of people and help transform the freight industry. Join Convoy and help move the world forward.About You:Optimizing our network of carriers is core to Convoy’s mission to automate the logistics industry. Today, we use machine learning, economic analysis, and operations research to figure out freight prices, shipment relevance for carriers, auction bidding strategy, and other internal processes. However, we’ve only begun to scratch the surface of possibilities across our transportation network - efficient load bundling, predicting carrier preferences, and fleet optimization are new frontiers that are central to Convoy’s success.  We are looking for a Senior Research Science Manager to join Convoy’s Marketplace organization to lead our network optimization data science team. This role has the potential to unlock significant value for the company as we double-down on the fundamental algorithms at the heart of our business. If you are interested in joining a company that is integrating economic insights and data science into the core of its business, while leveraging technology to drive efficiencies in a critical sector of the economy, let’s talk.Were looking for someone who has:MS/PhD in engineering, operation research, economics, statistics or other quantitative subject5+ years of experience in a dynamic business environment2+ years of experience managing data scientistsComfortable in SQL and proficiency in analytical tools (i.e. Python, R, etc)Experience working with ML models in production environmentsDemonstrated ability to create and drive technical and impactful roadmaps for the business, and lead execution of itAbility to identify critical business problems and create analytical/modeling solutionsExperience in Operations Research or Optimization is a plusBenefits:Employees wellbeing is top of mind for the Convoy team. Outside of offering excellent medical, dental, and vision benefits, we also offer the following: * On demand mental and emotional health benefits through Lyra * On demand primary care through 98.6* Generous paid time off* Paid parental leave program * Fertility benefit solutions via Progyny* Child-care and adult/elder-care options through Bright Horizons* Opportunity to join and contribute to one of our Employee Resource Groups * Ability to make a real world impact!Convoy is an equal-opportunity employer and we welcome applicants from all backgrounds. If you’re a passionate team player who wants to have an outsized impact on a diverse and dynamic team, we’d love to hear from you!",
      "index_position": 11,
      "job_title": "Senior Research Science Manager, Network Efficiency",
      "location": "\n\r\nSeattle, WA\r\n\n",
      "matching_text": "98, data, data science, heart, learning, machine, machine learning, ml, ml models, models, new, prices, program, python, real, science, sql, talk, technical, technology, time, tools, tools python, vision, world",
      "number_of_jobs": "(1660 Jobs Found)",
      "original_position": 9,
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      "wordcount": 479
    },
    {
      "company_name": "Smartsheet",
      "date": "2 days ago",
      "full_text": "**Data Scientist**\n\nSmartsheet is looking for an experienced **Data Scientist** to help guide analyses, create insights, and influence decisions. With thousands of subscribing organizations and millions of users there is lots of opportunity to make a meaningful impact and increase growth through analytics within Smartsheet.You willusedata analysis skillsand work with departments across the company to communicatekeyinsights as a part of Smartsheet's Business Intelligence team.\n\nThis full-time positionreports tothe Data Science Manager and is based in Smartsheet's corporate offices in Bellevue, WA.\n\n**You Will:**\n\n+ Partner with teams to understand their goals andexecute onopportunities todriverelevant insights andimpact\n\n+ Translatebusinessquestions into quantitative questions and hypotheses that can be answered using the data available\n\n+ Complete the full analytics lifecycle from understanding the business objective and understanding the data to developing automated reporting and visualizations\n\n+ Mine large datasets to unlock business opportunities\n\n+ Present analysis to teams and give data-based recommendations to encourage data-driven decisions\n\n+ Identify areas for further investigation\n\n+ Make quick strikes, iterate, and produce in high-volume\n\n+ Support other duties as assigned\n\n**You Have:**\n\n+ BA/BS in Mathematics, Computer Science, Operations Research, Physics, or other technical field.\n\n+ 3+ years of professional experiencein quantitative analysis\n\n+ Experience partnering with teams, solving problems, and driving execution\n\n+ Experience communicating analysisclearlyto others\n\n+ Experience in statistics and implementing different modeling techniques (ex. regression, time series, clustering, decision trees)\n\n+ Experience with data programming languages and visualization tools (ex. SQL/R/Python, Tableau)\n\n+ Ability toresearch and learn newtechnologies, tools, and platforms\n\n+ Ability to thrive in a dynamic environment, identify opportunities andexecuteautonomously\n\n**Perks**  **&**  **Benefits:**\n\n+ 100% employer-paid medical, dental, and vision coverage for full-time employees\n\n+ Equity - Restricted Stock Units (RSUs) Equity with all offers\n\n+ Lucrative Employee Stock Purchase Program (15% discount)\n\n+ 401k Matchto help you save for your future (50% of your contribution up to the first 6% of your eligible pay)\n\n+ Monthly stipend to support your work and productivity\n\n+ 15 days PTO to start, plus Flexible Sick Leave\n\n+ Up to 24 weeks ofParental Leave\n\n+ Personal paid Volunteer Day to support our community\n\n+ Opportunities for professionalgrowth and developmentincluding access to Audible for Business and LinkedIn Learning online courses\n\n+ Company Funded Perks, including a counseling membership, primary care membership, local retail discounts, and yourownpersonal Smartsheet account\n\n+ Teleworking options from any registered location in the U.S. (role specific)\n\n**Equal Opportunity Employer:**\n\nSmartsheet is an Equal Opportunity Employer committed tofosteringan inclusive environment with the best employees. We provide employment opportunities without regard to any legally protected statusin accordance withapplicable laws in the US, UK, and Australia. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.\n\nAt Smartsheet, westriveto build an inclusive environment thatencourages, supports, and celebratesthe diverse voices of our team members who also represent the diverse needs of our customers. We're looking for people who aredriven, authentic, supportive,effective, and honest. You're encouraged to apply even if your experience doesn't precisely match ourjob description-if your career path has been nontraditional,that willset you apart. At Smartsheet, we welcome diverse perspectives and people who aren't afraid tobe innovative-join us!\n\n**Department**\n\nAnalytics and Data Science\n\n**Job Location**\n\nBellevue, WA  ",
      "index_position": 12,
      "job_title": "Data Scientist",
      "location": "\n\r\nBellevue, WA\r\n\n",
      "matching_text": "computer, data, data science, developing, high, learning, linkedin, mathematics, online, partner, program, python, regression, science, solving, sql, support, technical, time, tools, using, vision, visualization",
      "number_of_jobs": "(1660 Jobs Found)",
      "original_position": 22,
      "similarity_weight": 0.18000000000000005,
      "url": "https://job-openings.monster.com/data-scientist-bellevue-wa-us-smartsheet/f274da16-2df9-40b9-b813-8fb78c01c652",
      "wordcount": 501
    },
    {
      "company_name": "Diversant LLC",
      "date": "3 days ago",
      "full_text": "We have an immediate need for a Drupal Developer with our client in the Tech Industry. This is a 3 month contract opportunity with long-term potential and is located in Seattle, WA.  Please review the below job description and contact me ASAP.Imagine what you could do with Machine Learning. Great ideas have a way of becoming great products, services, and customer experiences that are personalized, contextualized and intelligent to our users.As a designer, you will work with cross-functional teams, including designers, product managers, software engineers, and data scientists, to solve complex challenges and create intuitive experiences that make data scientists life easier and make Machine Learning more approachable to end-users.You have the following responsibilities:  Website building and maintenance for internal org Front end developer with Drupal Opensource experience Github Build partnerships, influence and work with product teams to efficiently implement intelligent experiences that are cohesive and inclusive.",
      "index_position": 13,
      "job_title": "Drupal Developer",
      "location": "\n\r\nSeattle, WA\r\n\n",
      "matching_text": "data, learning, machine, machine learning, org, services, tech",
      "number_of_jobs": "(1660 Jobs Found)",
      "original_position": 12,
      "similarity_weight": 0.17000000000000004,
      "url": "https://job-openings.monster.com/drupal-developer-seattle-wa-us-diversant-llc/224377441",
      "wordcount": 138
    },
    {
      "company_name": "Facebook",
      "date": "1 day ago",
      "full_text": "**Intro:**  \n\nFacebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.\n\n**Summary:**  \n\nWe're looking for Data Scientists to work on our business products (ex. Ads Manager, Facebook Business Suite, Small Business tools) to help shape the future of what we build at Facebook. You will support the two hundred million businesses, including ten million advertisers, who depend on us for their livelihoods. You will create the tools that power Facebook's core revenue streams, including new business models, that are used by businesses, big and small, all around the world. You will enjoy working with one of the richest data sets in the world, cutting edge technology, and the ability to see your insights turned into real products on a regular basis. You should have a background in a quantitative or technical field, experience working with large data sets, and experience in data-driven decision making. You are focused on results, a self-starter, and have demonstrated success in using analytics to drive the understanding, growth, and success of a product.\n\n**Required Skills:**  \n\n1. Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our business products. Users include all forms of businesses, salespeople, developers, and more\n\n2. Partner with Product and Engineering teams to solve problems and identify trends and opportunities\n\n3. Inform, influence, support, and execute our product strategy, decisions, and launches\n\n4. The Data Scientist Analytics role has work across the following four areas:\n\n5. Product Operations: Forecasting and setting product team goals, Designing and evaluating experiments and/or causal inference studies, Monitoring key product metrics, understanding root causes of changes in metrics, Building and analyzing dashboards and reports, Building key data sets to empower operational and exploratory analysis, evaluating and defining metrics\n\n6. Exploratory Analysis: Proposing what to build in the next roadmap, Understanding ecosystems, user behaviors, and long-term trends, Identifying new levers to help move key metrics, Building models of user behaviors for analysis or to power production systems\n\n7. Product Leadership: Influencing product teams through presentation of data-based recommendations, Communicating state of business, experiment results, etc. to product teams, Spreading best practices to analytics and product teams, Leading cross-functionally on defining and executing on analyses, including across other data scientists, data engineers, software engineers, user researchers, and others\n\n8. Data Infrastructure: Working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica, Automating analyses and authoring pipelines via SQL and Python based ETL framework\n\n**Minimum Qualifications:**  \n\n9. Bachelors/Masters Degree with 4+ years (or PhD with 2+ years) of experience in the following areas:\n\n10. Experience with applied statistics, including causal inference and experimentation (i.e. A/B testing) in an industry setting, especially for complex multi-sided ecosystems and/or low sample size environments\n\n11. Experience doing complex quantitative analysis and working with distributed (i.e. Hive, Hadoop or similar databases) or highly complex dataset\n\n12. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, MATLAB)\n\n13. 1+ years of experience with exploratory analysis and market sizing to inform development of new product strategy\n\n14. 1+ years of experience communicating the results of analyses and aligning cross-functional teams to influence the strategy\n\n15. 1+ years of experience providing analytical support in 1+ of these backgrounds: B2B/Enterprise companies, Advertising Technology/Digital Advertising, Financial Technology, Platforms/Marketplaces, Front-end tools for business customers, Quantitative Consulting\n\n16. 1+ years of experience in one or more of these types of analytics: Back-end quality/Performance & Reliability, Risk & Integrity, Infrastructure system design, Marketing Analytics\n\n**Preferred Qualifications:**  \n\n17. 6+ years of experience in all the above minimums\n\n**Industry:**  Internet\n\n**Equal Opportunity:**  Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.  ",
      "index_position": 14,
      "job_title": "Data Scientist - Business Interfaces",
      "location": "\n\r\nSeattle, WA\r\n\n",
      "matching_text": "data, heart, making, models, national, new, partner, performance, python, real, services, skills, solving, sql, support, technical, technology, tools, used, using, world",
      "number_of_jobs": "(1660 Jobs Found)",
      "original_position": 20,
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      "url": "https://job-openings.monster.com/data-scientist-business-interfaces-seattle-wa-us-facebook/f633194f-8c86-4e3c-9757-87f11b633ad6",
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    },
    {
      "company_name": "University of Washington",
      "date": "2 days ago",
      "full_text": "Req #: 187267 \n\n Department: GLOBAL HEALTH: I-TECH \n\n Posting Date: 02/11/2021  \n\n Closing Info: \nOpen Until Filled   \n\n Salary: Salary is commensurate with experience and education  \n\n Shift: First Shift\n\n Notes:  The University of Washington is following physical distancing directives from state and local governments as part of the collective effort to combat the spread of COVID-19.  Click here for updates\n\"Onsite work\" in the interim will vary for units and for specific positions and will be discussed with candidates during the interview process. As a UW employee, you will enjoy generous benefits and work/life programs.  For detailed information on Benefits for this position, click here. (http://hr.uw.edu/benefits/wp-content/uploads/sites/3/2018/02/benefits-academic-professional-librarians-staff-20191231.pdf) \n\nAs a UW employee, you have a unique opportunity to change lives on our campuses, in our state and around the world. UW employees offer their boundless energy, creative problem solving skills and dedication to build stronger minds and a healthier world.\n\nUW faculty and staff also enjoy outstanding benefits, professional growth opportunities and unique resources in an environment noted for diversity, intellectual excitement, artistic pursuits and natural beauty. All of which has allowed the UW to be nationally recognized as a \"Great College to Work For\" for six consecutive years.\n\nThe International Training and Education Center for Health (I-TECH) and the Department of Global Health recognizes that disparities in health around the globe stem from inequity and encourages and supports the multiple identities of staff, faculty and students including, but not limited to, socioeconomic status, race, ethnicity, language, nationality, sex, sexual orientation, gender identity and expression, culture, spiritual practice, geography, mental and physical disability and age. As reflected in the I-TECH Diversity Statement, (https://www.go2itech.org/who-we-are/diversity-equity-inclusion/)   our definition of diversity is broad, recognizing that there are multiple definitions of diversity. We strive to become a local, national, and international leader in developing and maintaining increased representation and recognition of each of these dimensions of diversity among its faculty, staff, and students.\n\nI-TECH is a center in the University of Washington's Department of Global Health. I-TECH has projects in more than 20 countries, and its worldwide staff work in partnership with local ministries of health, universities, non-governmental organizations, medical facilities, and other partners. I-TECH supports development of skilled work forces and overall health systems strengthening with a focus on sustainability and transition to local ownership. I-TECH is committed to being anti-racist and promotes health and equity in health for all people worldwide.\n\nThis position is working for the I-TECH Zimbabwe HIV Care and Treatment program, funded by the President's Emergency Plan for AIDS Relief (PEPFAR) funding under a cooperative agreement with the Centers for Disease Control and Prevention (CDC). The I-TECH Zimbabwe program works with the Zimbabwe Ministry of Health to provide HIV services, site support and quality improvement at 389 health care facilities in 19 districts. The primary objective of this cooperative agreement is to improve district and facility performance in comprehensive prevention, treatment, care, and support of HIV/AIDS and HIV-related conditions in Zimbabwe. An important component of the program is its monitoring and evaluation (M&E) system that collects patient-level and aggregated client data from the facilities on to tablets using the CommCare platform. The data is synced to a central MySQL data base. Program teams then perform data analysis and visualization using Excel and Power BI. Such analysis informs activities at the facility level to improve performance and guides program planning and resource use. Program data is also importantly used for biweekly updates to the funder and quarterly reporting on 22 PEPFAR indicators. The M&E system is run by a Harare based team of data managers and IT specialists.\n\nWe are seeking a forward-thinking and proactive Data Scientist to provide data management and statistical guidance to the Harare team and to analyze program data to improve understanding of program performance. This work will include the following primary activities: 1) support implementation of I-TECH's data collection tools, processes, and system updates; 2) conduct routine and non-routine data analysis of aggregated facility and patient level data; 3) oversee data cleaning, quality control, and assembly and organization of datasets for implementation and analysis; 4) write data management code and resolve queries; and 5) design and expand report templates, formats and dashboards.\n\nThe Data Scientist will also provide technical assistance for evaluation and epidemiology projects within this portfolio of work, drafting protocols, writing reports and publishing findings. This position will mentor others in research and evaluation methodology and build the capacities of the I-TECH Zimbabwe program to use and apply data toward program improvements.\n\nRESPONSIBILITIES: Data Management Implementation of data collection and other field-based activities\n• Develop, bench-test, and maintain electronic data collection forms, platforms, and monitoring systems\n• Coordinate with the Harare-based partner on the design of data collection, quality control, data transfer, data management, and report generation\n\nData quality monitoring and assurance\n• Assist in the development, implementation and documentation of data quality assurance procedures\n• Monitor incoming data; develop run, and maintain quality assurance code and generate queries; maintain audit trail for data cleaning\n• Provide timely and accurate responses to technical queries\n• Initiate and lead larger data quality and cleaning activities within and across activities\n• Advise on data storage, version control, and archiving practices\n\nData management\n• Maintain the central repository of data collection forms and version control\n• Assemble and clean datasets resulting from large-scale data collection and implementation activities\n• Prepare datasets for specified pooled and site-specific analyses\n• Maintain a proactive and forward-thinking approach to data management\n\nResearch design, implementation, analysis and reporting Research design\n• Develop appropriate study designs, analysis techniques, and conceptual models to answer research questions and evaluation goals\n• Develop tools for program research and evaluations\n• Serve as resource to the Principal Investigator, teams, and other stakeholders on specific concepts, study designs, and analyses\n\nImplementation\n• Provide major conceptual guidance on program development, innovation, and evaluation\n• Oversee data collection for quantitative components of research studies and program evaluations\n• Manage and facilitate Human Subjects requirements including preparation, submission, and tracking\n• Communicate with funder as needed\n• Prepare progress reports and ensure compliance with funder requirements\n\nAnalysis\n• Identify appropriate statistical analyses methods and conduct statistical analysis\n• Mentor colleagues on research and evaluation methodology and build the capacities of the I-TECH Zimbabwe program to use and apply data toward program improvements\n\nReporting and dissemination\n• Develop and present dissemination materials, such as abstracts, posters, reports and PowerPoint presentations\n• Lead or support manuscript writing and submission\n\nREQUIREMENTS: \n• PhD in Epidemiology, Biostatistics, Computer Science, Public Health or other field plus two years of relevant work experience; or\n• Master's Degree in Epidemiology, Biostatistics, Computer Science, Public Health or other field plus 4 years of relevant work experience.\n• Hands-on experience in the management and manipulation of large and complex datasets and experience in planning and conducting statistical analyses\n• Strong statistical skills in Stata, R, or similar software\n• Ability to plan and execute applied research and evaluation\n• Ability to work in a diverse team environment with international collaborators\n• Excellent writing, communication and interpersonal skills\n• Strong organizational skills\n• Experience handling high volume of diverse tasks in a timely manner with consistent accuracy and attention to detail\n• Demonstrated commitment to valuing diversity and contributing to an inclusive working and learning environment.\n• Demonstrated ability to facilitate communication between professionals in a manner that respects cultural differences and contributes to effective partnerships;\n\nEquivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration. DESIRED EXPERIENCE\n• Experience working in a federal funding environment\n• Experience with relational databases\n• Familiarity with PEPFAR reporting requirements\n\nWORKING ENVIRONMENTAL CONDITIONS\nThis full-time 100% position is based at the I-TECH offices at the UW in Seattle. The Data Scientist requires up to 25% travel to countries that often lack adequate public health and safety infrastructure. Travelers must be prepared to follow the UW and US government recommended precautions and prophylaxis for travel safety and disease prevention. The Data Scientist requires frequent participation in early morning and late evening telephone conference calls in order to accommodate time zone differences between Seattle and its country project sites.  I-TECH operates within a grant-funded environment.   Due to this, the total amount of this position's FTE may fluctuate based on program funding and needs.\n\nApplication Process:\nThe application process for UW positions may include completion of a variety of online assessments to obtain additional information that will be used in the evaluation process.  These assessments may include Workforce Authorization, Cover Letter and/or others.  Any assessments that you need to complete will appear on your screen as soon as you select \"Apply to this position\". Once you begin an assessment, it must be completed at that time; if you do not complete the assessment you will be prompted to do so the next time you access your \"My Jobs\" page. If you select to take it later, it will appear on your \"My Jobs\" page to take when you are ready. Please note that your application will not be reviewed, and you will not be considered for this position until all required assessments have been completed.\n\nUniversity of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, sexual orientation, gender identity, sex, age, protected veteran or disabled status, or genetic information.  ",
      "index_position": 15,
      "job_title": "DATA SCIENTIST",
      "location": "\n\r\nSeattle, WA\r\n\n",
      "matching_text": "2018, accuracy, approach, certification, college, computer, data, developing, disease, education, hands, high, information, international, interpersonal, interpersonal skills, language, learning, level, maintaining, models, national, natural, online, open, org, page, partner, performance, problem, problem solving, program, project, projects, scale, science, services, skills, solving, support, tech, technical, time, tools, university, used, using, visualization, world",
      "number_of_jobs": "(1660 Jobs Found)",
      "original_position": 24,
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      "url": "https://job-openings.monster.com/data-scientist-seattle-wa-us-university-of-washington/d52cd3c6-8a7a-4dac-896f-6b10175551b7",
      "wordcount": 1529
    },
    {
      "company_name": "realtor.com",
      "date": "4 days ago",
      "full_text": "In this role, you will act cross-functionally, solving business problems with repeatable and scalable data science enabled solutions. These solutions power intelligent and personalized recommendations about the homes and next best experiences and actions for every consumer. The technology matches consumers to agents and supports consumer success in their home-finding journeys. It processes natural language and images to make the most out of our data. You will work across teams and functions, ensuring the best use of technology to support our consumers and customers.As a leader in product management, you’ll coach the team to be more creative and bold in their plans, build deep collaboration with design and engineering, and ship systems that enable marketing and product to really fly.To succeed here you’ll need to be a motivated, innovative thinker with the ability to quickly grasp opportunities and translate technology into solutions. You’ll need to apply exceptional product management skills to help the company capitalize on our mission to make buying, selling, and living in homes easier and more rewarding for everyone.What will keep you challengedIn this role, you’ll partner closely with product leaders, marketing leaders, engineers, and technologists of every kind. You’ll lead the way as we lay out a plan to build a truly intelligent product, one that can assist and guide throughout a complex and important process. You’ll need to be comfortable with concepts ranging from data science to business strategy and consumer behavior. You’ll need to stand up for change when change is needed, and help bring collaboration and commitment to multiple teams.You will be responsible for making a meaningful impact on not only the growth of our business, but on the way people buy, sell, and live in their homesYou will need to come up to speed quickly on the technology and processes we have, forming an opinion on what’s great and what could be betterYou will be required to coordinate product development efforts across multiple teams in multiple locations to ensure dependencies are dealt with inside as well as outside your portfolioYou will have to do all of the above in an extremely fast-paced environment, making hard decisions and trade-offs quickly while working with the team on iterating their way to innovative solutionsYou will work with smart, curious and empathetic people that will constantly push you to be more strategic and ultimately, a better leader and professionalWhat will help you succeed* You have over ten years of relevant product management and leadership experience, with at least five years experience leading data science efforts in a product role* Solid background in data science and experimentation, with a demonstrated and long-standing passion for building intelligent systems that help people succeed* Bonus for experience leading change in your organization, large or small* Self-assured, and you find it fun to take on a big ask (small bites at a time)* User-centered in style, background in both consumer-facing and B2B products* Blend of experience from workplaces large and small* You’re a true people person whom teams love to work with -- you grow and nurture your team to allow each person to uniquely shine* You have a deep understanding of multi-product environments and associated platforms and technology* Some background with two-sided marketplaces would be an added bonus* You’ve got great soft skills -- friendly, approachable, clear communicator, open to ideas, generous giver and receiver of feedback* Supportive of a highly-inclusive culture where everyone can belong* You’ve got cultivated-over-time views about how great products are made, and how to do that well together with marketing, engineering, data science, and design* You’ve mastered the art of product management, having developed an excellent nose for value, customer understanding, and technical abilities all the while building impactful products",
      "index_position": 16,
      "job_title": "Director of Product Management, Data Science",
      "location": "\n\r\nSeattle, WA\r\n\n",
      "matching_text": "data, data science, deep, developed, language, making, natural, natural language, open, partner, person, science, skills, solving, support, technical, technology, time",
      "number_of_jobs": "(1660 Jobs Found)",
      "original_position": 6,
      "similarity_weight": 0.16000000000000003,
      "url": "https://job-openings.monster.com/director-of-product-management-data-science-seattle-wa-us-realtor-com/53c6208e-2b2b-41c8-897d-4a09d7b346c8",
      "wordcount": 615
    },
    {
      "company_name": "Amazon Corporate LLC",
      "date": "Posted today",
      "full_text": "Are you seeking an environment where you can drive innovation? Do you want to apply machine learning techniques and advanced statistical modeling to solve real world problems to help Amazon reach and delight millions of customers around the world? Do you want to play a crucial role in the future of Amazon's Operations?Every time an Amazon customer makes an order they leverage the most advanced and sophisticated supply chain the world has ever seen, Amazon Operations, and its global network comprising of cutting edge software, fulfillment centers, sort centers, delivery stations, airports, customer service centers, physical stores, robots, airplanes, trucks, vans, trucks, world class employees, trusted partners, and more. Conducting a symphony of this scale comes with significant costs. It also comes with the largest repository of supply chain data to exist that's growing by billions of data points by the minute.Here in WW Consumer Controllership Data Science our data scientists raise the bar on our ability to fulfill promises to customers at greater convenience, speed, and value through:* Leveraging the largest repository of supply chain data to ever exist to develop models to forecast, classify, and detect anomalous costs.* Working with technical and non-technical customers across every step of data science project life cycle.* Collaborating with our dedicated product, data engineering, and software development teams to create production implementations for large-scale data analysis.* Developing an understanding of key business metrics / KPIs and providing clear, compelling analysis that shapes the direction of our business.* Presenting research results to our internal research community.* Leading training and informational sessions on our science and capabilities.Your contributions will be seen and recognized broadly within Amazon, potentially contributing to the Amazon research corpus and patent portfolio.Amazon is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / AgeBasic Qualifications* Bachelor's Degree* 5+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)* 4+ years working as a Data Scientist* Experience with AWS technologies (Sagemaker, Redshift, Athena, IAM, EC2, S3)Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.",
      "index_position": 17,
      "job_title": "Senior Data Scientist, WW Consumer Controllership Data Science",
      "location": "\n\r\nSeattle, WA\r\n\n",
      "matching_text": "data, data science, developing, learning, machine, machine learning, models, national, project, python, real, scale, science, sql, technical, time, visit, world",
      "number_of_jobs": "(1660 Jobs Found)",
      "original_position": 17,
      "similarity_weight": 0.16000000000000003,
      "url": "https://job-openings.monster.com/senior-data-scientist-ww-consumer-controllership-data-science-seattle-wa-us-amazon-corporate-llc/f0ba2b4a-48d2-456b-8c84-ecb3f3277177",
      "wordcount": 399
    },
    {
      "company_name": "Averro",
      "date": "3 days ago",
      "full_text": "Title: Recruiter (AI + ML)We are looking for great Tech Recruiters to own the end to end hiring process for select roles across our client’s various engineering groups. You will work closely with the hiring managers and other members of their Talent community to develop and land top technical talent from around the globe. You should be comfortable interacting with business leaders, other recruiters and industry professionals. Your approach should leverage technical depth and industry knowledge beyond the basics. You should be comfortable and effective at delivering optimal results in a fast paced and dynamic environment. You must be excited by searching for outstanding talent and networking closely within the industry to identify the right talent and companies to target. You'll cover the basics of recruiting, but more importantly, leverage your technical and business knowledge to develop meaningful recruiting strategies which promote aggressive methods to source, evaluate, and pipeline candidates for our client. You will also be responsible for helping to assess talent via screening and interviews and help convert to hires for the business. In addition, you will play an active role with hiring managers and business leaders to help assess their talent needs and land the best talent for their roles.Responsibilities include: Work with engineering leaders and other recruiters in defining and maintaining key hiring needs. Understand technical requirements of a role, the engineering challenge, and how it fits into the organization. Execute on tactical outreach, referral generation, and pipelining efforts. Craft custom outreach and meaningful candidate engagement. Work with teams to engage engineering leaders early in the recruiting cycle. Influence clients to engage directly in recruiting talent. You will own candidate relationships from start to offer negotiation and closing. Recommend and drive improvements with recruiters and interviewing teams to effectively screen and assess talent. Work with schedulers and other recruiters to ensure a remarkable candidate experience. Research and gather market intelligence. Understand and execute against shifts in the marketplace that present recruiting opportunities. Present and maintain a sourcing strategy with key stakeholders. Track candidate activity and share with internal stakeholders.Skills/Qualifications:  7+ year’s technical recruiting experience in the Software domain with a heavy emphasis on finding/placing Artificial Intelligence, Machine Learning and Data Science resources. Excellent research/sourcing skills. Including use of Boolean, LinkedIn and alternative search techniques. BA/BS degree in engineering, business, communications, human resources or related discipline and/or equivalent work experience. Ability to deliver results with little supervision, and effectively manage and prioritize multiple projects and candidates. Decisive and able to push back constructively when appropriate. Good interpersonal skills and ability to network within the industry to identify top performers. ",
      "index_position": 18,
      "job_title": "Senior Recruiter (AI/ML",
      "location": "\n\r\nRedmond, WA\r\n\n",
      "matching_text": "ai, ai ml, approach, artificial, data, data science, interpersonal, interpersonal skills, learning, linkedin, machine, machine learning, maintaining, ml, projects, science, skills, tech, technical",
      "number_of_jobs": "(1660 Jobs Found)",
      "original_position": 8,
      "similarity_weight": 0.15000000000000002,
      "url": "https://job-openings.monster.com/senior-recruiter-ai-ml-redmond-wa-us-averro/224365258",
      "wordcount": 431
    },
    {
      "company_name": "Randstad Technologies",
      "date": "7 days ago",
      "full_text": " job summary:Software Database Engineer needed for a Contract Opportunity with Randstad Technologies client in Redmond, WA.\n Responsibilities\n - Coordinate the migration of from our current Support and Operations teams to the new, Enterprise-ready organization. Execute transition plan, including:\n o Establishing relationships with new stakeholders\n o Aligning process and tools to track requirements, work and support requests\n o Inventory, document, and recommend improvement to the current infrastructure\n - Create and maintain data pipeline architecture and ETL\n o Connect to external data residing in SQL Servers, SQL DW, Azure Data Lakes, Azure Blobs, Cosmos DB, SASS Tabular Models, flat files, Spark and Hadoop\n o Programming/Scripting in T-SQL, Python, PySpark/Scala, DAX\n o Environments: SSMS, Azure Databricks, Azure Synapse Workspace, Azure Data Factory, Azure/SQL Analysis Services\n o Maintain Staging and Production servers (SQL, SSAS)\n - Quality Control and data onboarding\n o Conduct periodical Privacy and Security reviews with IT, HR and Ops stakeholders\n o Creating and executing Test Plans of code and UI (Power BI and Power Apps)\n Desirable skills and experience\n o Working in Data Science teams, understanding of Data Science/Machine Learning Workflow\n o Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement\n o A successful history of manipulating, processing and extracting value from large disconnected datasets\n o Strong project management and organizational skills\n o 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field\n location: Redmond, Washingtonjob type: Contractsalary: $50 - 60  per hourwork hours: 8am to 5pmeducation: Bachelors responsibilities:Responsibilities\n - Coordinate the migration of from our current Support and Operations teams to the new, Enterprise-ready organization. Execute transition plan, including:\n o Establishing relationships with new stakeholders\n o Aligning process and tools to track requirements, work and support requests\n o Inventory, document, and recommend improvement to the current infrastructure\n - Create and maintain data pipeline architecture and ETL\n o Connect to external data residing in SQL Servers, SQL DW, Azure Data Lakes, Azure Blobs, Cosmos DB, SASS Tabular Models, flat files, Spark and Hadoop\n o Programming/Scripting in T-SQL, Python, PySpark/Scala, DAX\n o Environments: SSMS, Azure Databricks, Azure Synapse Workspace, Azure Data Factory, Azure/SQL Analysis Services\n o Maintain Staging and Production servers (SQL, SSAS)\n - Quality Control and data onboarding\n o Conduct periodical Privacy and Security reviews with IT, HR and Ops stakeholders\n o Creating and executing Test Plans of code and UI (Power BI and Power Apps)\n qualifications:•Experience level: Experienced•Minimum 5 years of experience•Education: Bachelors skills: •Database (2 years of experience is required)•SQL (2 years of experience is required)Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.\n",
      "index_position": 19,
      "job_title": "Software Database Engineer",
      "location": "\n\r\nRedmond, WA\r\n\n",
      "matching_text": "azure, computer, data, data science, education, information, learning, level, machine, machine learning, models, national, new, processing, project, python, science, services, skills, sql, support, tools",
      "number_of_jobs": "(1660 Jobs Found)",
      "original_position": 15,
      "similarity_weight": 0.14,
      "url": "https://job-openings.monster.com/software-database-engineer-redmond-wa-us-randstad-technologies/224210885",
      "wordcount": 460
    },
    {
      "company_name": "Behavox",
      "date": "3 days ago",
      "full_text": "As the Head of Product Operations, you will report directly to the Chief Product Officer to support and drive operational rhythm of the high-performing Product organization by assuming full ownership of: - Systems - administration and management of the product tech stack such as Product Management knowledge base, Customer Feedback project, product road-mapping infrastructure, product telemetry analytics systems and other tools. - Processes - development, documentation, maintenance and enforcement of processes and procedures powering the operating rhythm of product teams, including but not limited to onboarding and continuous training of Product teams; ship rooms; Customer Advisory Boards; effective interfaces among Product teams (Product Management, Product Engineering, Design), internal teams outside of the Product department (e.g. Platform Engineering, Product Marketing, Data Science, Revenue team, Account Managers) as well as customers and external partners. - Data - collection, organization and analysis of quantitative and qualitative product data providing product organization with valuable and actionable insights. This includes but is not limited to customer feedback data, product usage data, CSAT/NPS surveys, support tickets.What You'll DoSet up and own an effective and efficient operating rhythm across all Product teams through the effective systems and processesManage all product operations including driving roadmap creation and operationalization, and inter-departmental processes as mentioned above Build a team of Program Managers to provide effective operational excellence across Company Product teams Support the Product leadership team in shaping and driving the people agenda and leading team health initiativesCreate and implement systems and process for scalable and effective collection and analysis of product-related metrics dataWhat You'll Bring Demonstrable experience of building and managing Product operations teamsExperience in hiring, managing and/or mentoring ops teamsStrategic mindset and superior analytical/problem-solving skillsProduct management experienceExcellent execution and operational skillsWritten communication skillsVerbal communication skills",
      "index_position": 20,
      "job_title": "Head of Product Operations",
      "location": "\n\r\nSeattle, WA\r\n\n",
      "matching_text": "boards, data, data science, high, problem, problem solving, program, project, science, skills, solving, support, tech, tools",
      "number_of_jobs": "(1660 Jobs Found)",
      "original_position": 11,
      "similarity_weight": 0.14,
      "url": "https://job-openings.monster.com/head-of-product-operations-seattle-wa-us-behavox/8ca58aec-4e2c-4eb6-8c96-091da606a509",
      "wordcount": 277
    },
    {
      "company_name": "ASSURANCE Independent Agents",
      "date": "5 days ago",
      "full_text": "Now that AEP is over, find your permanent home  About Assurance   At Assurance we are disrupting the antiquated and inefficient world of insurance and financial services. Our team of world class software engineers, data scientists, and business professionals are modernizing how people obtain and manage their financial life all through our powerful platform ecosystem. We are rapidly growing as we expand our product offerings and global footprint, and this growth continues to present new and exciting challenges as we push our industry into its future. We eliminate waste throughout the industry and calculate the complex into simple, valuable solutions to improve people's lives. We are humble, driven, and committed to improving the lives of millions.      READ THIS 1ST!      Save yourself time & do not apply if you do not meet this criteria (no exceptions):      1) Have sold in 2021 (i.e. MOST RECENT) AEP season (2021 AHIP certification included)   2) Licensed in 5+ states to sell Health   3) Have 4+ carrier appointments   4) Have release in hand      Now that AEP is over, find your permanent home.      The Remote Medicare Sales Agent (note: this is a full-time, salaried role), is responsible for selling Medicare Advantage, Medicare Supplement, Prescription Drug Plan and other ancillary insurance products to consumers through inbound and outbound leads. This position does not require cold calling. All insurance shopper leads are provided to you.     Own the following duties   Assist Medicare eligible individuals to select the appropriate Medicare health insurance plan. Present potential solutions using our world class suite of insurance products Abide by the procedures, rules and requirements of Assurance, regulatory bodies, and state Participate in coaching sessions with SM and execute on necessary comms/behavior changes Meet monthly sales goals including applications submitted, conversion, hours, AVG handle time Adhere to work schedule consistently       Why you should choose us over any other opportunity   Growth opportunities – we offer leadership development training and promote from within for those employees seeking career advancement A culture that is focused on a constructive communication process Supportive management team that aids and encourages development and career progression Ongoing coaching and career development including individual and group coaching sessions Fast paced, high performance environmentWe represent multiple carriers in 50 states       Requirements to join as 1 of 100 full-time producers   High school diploma or the equivalent is required, Bachelor's degree preferred Life, Accident, & Health resident insurance license and required registration Ambitious sales minded with strong interpersonal skills to build rapport with customers Highly self-motivated and self-disciplined with ability to work effectively in a sales environment Organizational skills and effective time management to thrive in a fast-paced environment Analytical skills to understand key performance metricsMinimum Internet Speed (Hardwired): 30mb down/20mb up       We offer a rewards package that is 2nd to none   Competitive base salary & commission, with chance to earn performance-based bonuses A generous benefit package, paid time off including company holidays Possibility to participate in company-sponsored retirement savings plans (401k) after 1 year anniversary       Work Location & Schedule   The Sales Agent will be required to work 40 hours per week  Position Location: This position is a 100% work-from-home, remote role       Please review our CCPA policieshere.  ",
      "index_position": 21,
      "job_title": "Licensed Medicare Insurance Agent - Sell Insurance Remotely, Full Time",
      "location": "\n\r\nBellevue, WA\r\n\n",
      "matching_text": "certification, data, high, high school, interpersonal, interpersonal skills, new, ongoing, performance, school, services, skills, time, using, world",
      "number_of_jobs": "(1660 Jobs Found)",
      "original_position": 7,
      "similarity_weight": 0.13,
      "url": "https://job-openings.monster.com/licensed-medicare-insurance-agent-sell-insurance-remotely-full-time-bellevue-wa-us-assurance-independent-agents/efcc4f7c-1732-4c8b-8aca-4a6e6ef555a6",
      "wordcount": 600
    },
    {
      "company_name": "Getty Images",
      "date": "Posted today",
      "full_text": "Getty ImagesSeattle Creative - Creative Content Full-timeGetty Images is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Getty Images believes that diversity is critical to our success in moving the world with images and is committed to creating an inclusive, mutually respectful environment that celebrates diversity. We seek to hire on the basis of merit, competence, performance, and business needs. For 25 years, Getty Images has embraced disruption and change; riding the digital wave to evolve from a fragmented, analog stock photo business into a global e-commerce industry leader and trusted brand. The breadth and quality of our content has always allowed our customers and partners to tell their stories with greater creativity and accuracy, eliciting more emotion and enabling more action. Getty Images moves the world, whether the goal is commercial or philanthropic, revenue-generating or society-changing, market-disrupting or headline-driving.Help us move the world with images!Getty Images is the most trusted and esteemed source of visual content in the world, with over 405 million assets available through its industry-leading sites www.gettyimages.com and www.istock.com . The Getty Images website serves creative, business and media customers in almost 200 countries and is the first-place people turn to discover, purchase and share powerful content from the world's best photographers and videographers.Getty Images works with over 330,000 contributors and image partners to provide comprehensive coverage of more than 160,000 news, sport and entertainment events, impactful creative imagery to communicate any commercial concept and the world's deepest digital archive of historic photography. Getty Images is a world leader in visual content. With over 405 million assets, of which over 285million are digitized, encompassing the latest global news, sports, celebrity, music and fashion coverage; exclusive conceptual creative images; and the world's largest commercial archive. New content is added daily, with 8-10 million new assets added each quarter.We are inclusive of different voices, perspectives and experience. We believe diversity is critical to our mission to objectively reflect the world we live in and allow our customers to illustrate that world. This means including a diverse range of voices in our content, actively pursuing diversity in our team and sources of content and listening to our customers to make sure we are as open and responsive as possible.Women, gender-nonbinary, people of color, LGBTQIA+ people and people with disabilities are encouraged to apply.Who you are:Getty Images is looking for individuals that enjoy leveraging new and traditional Machine Learning methods to help turn large-scale business data into actionable insights.As a Data Scientist - Content at Getty Images, you will contribute to the development of impactful Machine Learning pipelines to evaluate content consumption trends at Getty Images. The output of your models will be core to our understanding of how customers search and interact with our imagery content; and will be used to understand the lifetime value of content at Getty Images. Your work will also serve as the foundation for multiple strategic initiatives, and will sit at the i",
      "index_position": 22,
      "job_title": "Data Scientist, Content Planning and Analysis",
      "location": "\n\r\nSeattle, WA\r\n\n",
      "matching_text": "accuracy, data, information, learning, machine, machine learning, models, national, new, open, performance, photography, scale, used, world",
      "number_of_jobs": "(1660 Jobs Found)",
      "original_position": 18,
      "similarity_weight": 0.12,
      "url": "https://job-openings.monster.com/data-scientist-content-planning-analysis-seattle-wa-us-getty-images/88b654e8-a837-4a86-b906-49a71042f8d4",
      "wordcount": 543
    },
    {
      "company_name": "The Judge Group",
      "date": "7 days ago",
      "full_text": "Location:  Redmond, WADescription:  Our client is currently seeking a Data Pipeline Engineer This is a W2 Contract to Hire. This job will have the following responsibilities:Design and implement performant Azure based services and tools Engineer Data pipeline solutions to allow ingress / egress of analytic data Partner with other team members to ensure scalable, responsive tooling Write unit, integration, and stress tests Consult with Data Scientists on team to propose solutions to complex scale problemsQualifications & Requirements:2+ years professional data or web service engineering experienceContact:twolfe@judge.comThis job and many more are available through The Judge Group. Find us on the web at www.judge.com",
      "index_position": 23,
      "job_title": "Data Pipeline Engineer",
      "location": "\n\r\nRedmond, WA\r\n\n",
      "matching_text": "azure, data, partner, scale, services, tools, web",
      "number_of_jobs": "(1660 Jobs Found)",
      "original_position": 16,
      "similarity_weight": 0.11,
      "url": "https://job-openings.monster.com/data-pipeline-engineer-redmond-wa-us-the-judge-group/224199239",
      "wordcount": 99
    },
    {
      "company_name": "Nexzentek",
      "date": "5 days ago",
      "full_text": "Infra Operations and Production support – Pipelines, ADLS, Data Bricks, end-point monitoring & maintenanceData warehouse design and implementationMigration of assets to new Data Science infraCompliance tasks for Data security & privacyOngoing Data Engineering tasks (Ingestion, pre-processing, transformation, etc.)PBI analytics visualizationAd hoc Data Analysis with rapid querying and agile dashboarding",
      "index_position": 24,
      "job_title": "Data Engineer/Data Scientist - Remote Job",
      "location": "\n\r\nredmond, WA\r\n\n",
      "matching_text": "data, data science, new, processing, science, support",
      "number_of_jobs": "(1660 Jobs Found)",
      "original_position": 3,
      "similarity_weight": 0.09999999999999998,
      "url": "https://job-openings.monster.com/data-engineer-data-scientist-remote-job-redmond-wa-us-nexzentek/224282434",
      "wordcount": 49
    }
  ],
  "fulltext_wordcloud": "https://e1-testing-public-bucket.s3.amazonaws.com/0d4dc6d7-488f-49e8-9fb5-4235bba8c701.png",
  "jobtitle_wordcloud": "https://e1-testing-public-bucket.s3.amazonaws.com/81dd1e48-03ca-4c3d-bff6-07dce4557d61.png"
}

Install and Use

Install

Install the Algorithmia CLI client by running:

curl -sSLf https://algorithmia.com/install.sh | sh

Then authenticate by running:


          $ algo auth
# When prompted for api endpoint, hit enter
# When prompted for API key, enter your key: YOUR_API_KEY
      
CLI Install Docs

Use



    algo run specrom/Job_Matcher/0.2.8 -d '{
        "resume_text": "skills proficient in machine learning deep learning computer vision tools python java c streamlit html css c tensorflow others flask docker data structures data visualization sql education manipal university jaipur jaipur india b tech in information technology july 2018 ongoing excellencia junior college hyderabad india intermediate may 2016 april 2018 boards 95 3 saint john s academy allahabad india high school july 2007 april 2016 icse 90 0 projects covid19 realtime mask detection view project this project detects in real time whether a person is wearing a mask or not it was made using the convolution neural networks cnn and was trained on 2 cnn layers and runs on an accuracy of over 95 coronary heart disease prediction using neural networks view project used artificial neural networks ann with 3 layers of approach could achieve a mean accuracy of 85 sms email spam filtration using nlp view project it is trained using natural language processing and nltk library the model then uses an xgboost classifier to scale up its performance to a very awing 98 65 accuracy it s b i n g a webapp for flight rate prediction view project this model predicts the prices of flights and was trained using random forest regression to achieve an accuracy of over 95 the frontend was developed using streamlit library of python certifications and workshops ai and deep learning workshop kanpur india indian institute of technology kanpur mastering python certification kanpur india indian institute of technology kanpur developing microsoft azure and web services jaipur india microsoft microsoft open talk on ai ml jaipur india microsoft student partner muj technical support fundamentals certification online google inc machine learning a z hands on python in data science online udemy deep learning prerequisites online udemy extra curriculars and interpersonal skills internshala student partner at manipal university jaipur internshala isp program may 2020 aug 2020 idl muj photography contest second runner up national level quizzer cisce 2016 new delhi international olympiad of mathematics silverzone org world rank 1432 national cyber olympiad sof national rank 702 tedx manipal university jaipur oc registrations committee blogging a keen interest in photography maintaining a creator s page at instagram visit publications published an article on linkedin about making a webapp for your ml models without using any frontend using the streamlit library view problem solving",
    "search_terms": "data scientist",
    "location": "Seattle, WA",
    "page": "1",
"email":"example@example.com"
    }' --timeout 300
  
CLI Docs