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We need a strong data scientist leader to manage our ML & data science research & development and evolve the services that make up the backbone of Xometry’s business. Serve as a strategic leader as part of our data science & machine learning team, with responsibility for Xometry’s pricing strategy.
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Atlassian seeks a Senior Data Scientist to join a high-performing Data Science team dedicated to driving actionable insights across our Customer Support Products and Ecosystems. You are a self-starter and strategic problem solver with demonstrated success in using data science to drive understanding, progression, and decision making for large organizations.
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Data Science Platforms like Domino Data Lab, Apache Airflow, AWS and Google Cloud (working environment to build and deploy models) Join us to do the best work of your career and make a profound social impact Data Scientist on our Global Process Engineering and Data Science team in Round Rock, Texas.
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Be Valued at the American Heart Association by following us on LinkedIn , Instagram , Facebook , X (formerly Twitter) , and at heart.org. Responsibilities We are seeking a Data Science Fellow, to develop essential skills in healthcare analytics and modern methods in artificial intelligence/machine learning to advance research in precision medicine.
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Participates in end-to-end data science project lifecycle - data mining and exploration, model development and evaluation, solution deployment in production, measurement and tracking.
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Hands-on experience and/or academic background translating data science problem statements into corresponding data, infrastructure, or workflow needs. Provide technical leadership for efforts around tooling and infrastructure that enable teams to efficiently complete and maintain data science projects.
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Graduate degree with research/work experience utilizing data science techniques (including but not limited to Computer Science, Statistics, Political Science, Biology, etc.
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For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Knowledge of Statistics, SAS, Python, Computer Vision, and data visualization tools.
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JOB REQUIREMENTS: Requires a Master’s degree in Computer Science, Information Systems, Computer Engineering or related field, plus three (3) years of software engineering or related development experience using Java, Python or Scala, including experience with build and deployments on application servers; and working with the open-source Java ecosystem and the libraries available for common tasks.
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Data science and machine learning knowledge would be advantageous, but not required. With HDIP, we bring together near real time gaps in healthcare via mining of petabytes of data, scaling to millions of request with 99.99% availability.
$120,300 - $291,900ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Bachelor's or Master's degree in Computer Science, Engineering, Economics, Statistics, Data Science, or a related field. Collaborate with marketing leaders and cross-functional teams, including Product, Engineering, Data Science, and Operations, to define and execute the team's strategic roadmap.
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Interact with Product, Data Science/Analytics, and Data Engineering teams to iterate quickly and constantly deliver value to our business stakeholders. Our client, an investment management firm, is seeking an Architecture - Data Architect II - Onshore.
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Partners with diverse Microsoft teams to identify and explore opportunities for the novel application of machine learning (ML) and other data-science tools to above industry. Industry and Research Knowledge/Opportunity IdentificationServes as industry thought leader in data science in either of following fields: Manufacturing, Energy, Mobility, Telecommunications.
$133,600 - $256,800 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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The Global Business Intelligence team provides data services, analytics, reporting, and data science solutions to Apple's business groups, including Retail, iTunes, Marketing, AppleCare, Operations, Finance, and Sales.
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A background in computer science, engineering, mathematics, or similar quantitative field with a minimum of 2 years professional experience. Experience in implementing data pipelines using python.
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data science jobs Title: data in Austin, TX
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