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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. 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.
$85,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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The Department of Data Sciences at Dana-Farber Cancer Institute drives cancer research through innovation and collaboration in the quantitative sciences. Statistical Skills: Expert at statistical methodology, and the use of statistical software, coding, data analysis and effective presentation of results.
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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. Proficiency in complex data extraction or processing using Python, SQL, Snowflake.
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We welcome those with experience in jobs such as Scientist, Researcher, and Research Assistant and others in the Science and Biology to apply. Minimum of 10 years of relevant professional experience in financial engineering, technology or quantitative investment functions with practical experience querying on-chain data and/or deploying smart contracts.
$124,000 - $262,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Bachelor’s degree (or foreign education equivalent) in Applied Mathematics, Computer Science, Engineering, Information Technology, Information Systems, Information Management, Mathematics, or a closely related field and five (5) years of experience as a Director, Data Science (or closely related occupation) launching, operating, leading and implementing document processing, computer vision, and Deep Learning (DL) practices using TensorFlow, Keras, MXNET, or H2O.
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Bachelor or Masters degree in a quantitative discipline (e.g. engineering or computer science) Minimum of 2 years of relevant professional experience in financial engineering, technology or quantitative investment functions with practical experience querying on-chain data and/or deploying smart contracts.
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Apply data science expertise in machine learning, deep learning, statistics, text-mining/NLP, forecasting, and optimization to multiple analytics projects. Expertise with core data science languages (predominantly with Python, and nice to have R & Scala), experience working with Snowflake and other different database systems (such as SQL, NoSQL.
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If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey! Experience or academic work with large scale data analysis Data Science Internship.
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Director of Data Science & AI Research Chemistry. An advanced degree (master’s or doctoral) in a quantitative fields including but not limited to Computer Science, Applied Mathematics, Astro/Physics, Computational Chemistry, all relevant engineering and science disciplines.
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PhD or equivalent in public health, epidemiology, data science, machine learning, data science, artificial intelligence, computational biology, computer science, statistics, mathematics, or other quantitative field.
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By your actions, improve data quality and outcome for the data engineering, analytics and data science users and producers of data. Bachelor’s degree in Computer Science with focus on data engineering preferable.
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PhD in a relevant discipline such as: computer science, math, computer engineering, statistics, cognitive science, electrical engineering, bioengineering, data science, etc.
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Lead the cross functional study team for the EDODM1 Phase 1 study, including clinical monitors, data management, biostatistics, medical writing, safety, regulatory affairs, and pharmaceutical science and QA team members, both internally and externally.
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Broad technical skills including data modeling, SQL, databases, ETL/ELT, scripting, and commercial cloud service offerings (e.g. Azure, AWS, Databricks, Snowflake) The relevant infrastructure will include elements such as an enterprise data catalog, data governance (including conventions and standards), data quality, master data management, application integration, data exchange, ETL/ELT, data modeling, and related components.
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Keywords: Genomics, Single cell omics, Computational biology, Statistics, Data science, imaging. The ideal candidate will have strong programming skills, a solid background in statistics or mathematics, and experience with large-scale data analysis, and will be excited to contribute to advancing the science and medicine of eye disease.
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data science jobs Title: consultant Company: Xactly in Boston, MA
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