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The Role: The UChicago Crime Lab and Education Lab are seeking a Data Science Manager with strong technical and project management skills to work on large-scale social policy experiments in the areas of crime and education.
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8+ years of relevant professional experience including managing data science and analytics projects, with a background in performing data science and analytics using tools such as Python, R, SAS, SQL, Tableau, Power BI, etc.
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We are seeking a Vice President, Data Science to join the Fidelity Digital Asset Management business and report directly to the Head of Digital Asset Operational Capabilities. The Data Science team is a highly collaborative group leading technical projects across the FDAM organization to enable effective management of investment products and services.
$124,000 - $262,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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The Manager Data Science brings a strong ability for independent learning and is therefore regarded as a technical expert in the latest advances in Data Science. Masters Degree or PhD in Statistics, Applied Mathematics, Econometrics, Economics, Operations Research, Industrial Engineering, Physics, Computer Science, or similar quantitative field required.
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5 years of experience with data science and analytics technologies such as Python, SQL, Tableau, Alteryx, AWS Redshift and Lambda, and/or Google Cloud Platform. Define and evangelize the strategy, roadmap, and execution plan to deliver new data science and analytics capabilities to enable Thermo King’s customers and achieve our company purpose while enabling rapid growth.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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The Data Science team at DTC combines deep data analysis and research of our rich user data to present a compelling vision around user retention and preferences across the vast ecosystem of our product offerings and content.
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The Director of Personalization and Digital Analytics will direct the work of the Senior Manager of Campaigns, the Analysts responsible for Data Engineering, Data Science, and Digital Analytics, as well as external technology and analytical support agencies.
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As a Data Science Senior Manager, you will have end-to-end ownership of custom models, algorithms, and other data products that feed directly into TRM’s UX. In collaboration with a highly skilled team of engineers, data scientists, and research scientists, your goal will be to uncover valuable and defensible information that can be used to detect, prevent, and mitigate cryptocurrency fraud and financial crime.
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PhD in computer science, computer engineering, information systems, Medical Informatics, Bioinformatics, life sciences or related discipline with 8+ years' data science experience.
$201,025 - $260,150 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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A Ph. D. degree in Biomedical/Health Informatics, Computer Science, Information Science, Computational Linguistics, Data Science, Artificial Intelligence, or a related technical field.
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Existing collaborations within CZ Biohub: Technology Platforms (Bioengineering, Computational Microscopy, Data Science, Genomics & Mass Spectrometry), Infectious Disease , and Quantitative Cell Science.
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This commitment is brought to life in the Institute for Data Science in Oncology (IDSO), a flagship program designed to reshape patient experiences and fast-track scientific breakthroughs via data-driven cancer care methodologies.
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We are seeking a Data Science Associate to join the Fidelity Digital Asset Management business and report directly to the VP, Data Science. Proficiency in complex data extraction or processing using Python, SQL, Snowflake.
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Of science into data products by acting as the voice of “Knowledgebase” and interoperability/value of asset. Provides bespoke subject matter expertise for R&D data to translate deep science into data for actionable insights.
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The Scientific Knowledge Engineering team, which sits within the Onyx Product Management organization, is responsible for the data modeling, ontology definition and management, vocabulary mapping, and other key metadata activities that ensure Onyx platforms and data assets speak scientific language.
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