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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.
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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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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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The Department of Data Sciences at Dana-Farber Cancer Institute drives cancer research through innovation and collaboration in the quantitative sciences. Expert at statistical methodology, and the use of statistical software, coding, data analysis and effective presentation of results.
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Expertise with core data science languages (such as Python, R, Scala), and proficiency with key database systems (e.g. SQL, NoSQL). BS in computer science, software engineering or related area with at least 10+ years of experience in working on the development of data pipelines and data products.
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Big Data and Analytics: Will handle and analyze enormous volumes of data, Azure Data Engineers use big data technologies like Azure Databricks and Apache Spark. Data Management and Storage: Microsoft Azure offers a variety of data storage options, including Azure SQL Database, Azure Data Lake Storage, Azure Cosmos DB, Azure Blob Storage, and more.
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Lead a team of business analysts, data architects and data engineers to architect and deliver the solutions that fulfill the Business information needs and align with the information vision and strategy.
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Represents GBS Data Governance in enterprise workgroups and data steward communities of practice. Serves as Data Steward as part of an Agile team dedicated to Claims Transaction data operations & initiatives.
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Performs catastrophe modeling analyses using catastrophe modeling software for the assessment of data input, model set-up, model execution, result extraction and loss analytics. Assists evaluating catastrophe management software and models and exploring industry best practices and business strategies in earth science technologies partners, and to assist fellow catastrophe risk management team members to provide the catastrophe related insights and recommendation.
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Expert in Azure cloud computing, specializing in Azure data engineering stacks like ADF (Azure Data Factory), ADLS, Event Hubs, Snowflake, Databricks, streaming, Azure PowerShell, and Log Analytics.
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Under direction of the Client Services Supervisor, the Data Processing Coordinator provides daily oversight of laboratory data processing services, ensuring efficient and high-quality specimen processing.
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Degree in chemical engineering, pharmaceutical science, materials science, or related physical science with a PhD and 3+ years, or an MS with 10+ years, or a BS with 15+ years of experience in pharmaceutical development.
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Data Science: ML Algorithms, model evaluation & validation, feature generation, data visualization, statistical analysis. Security & Compliance: Cybersecurity frameworks & standards, IAM, encryption & data protection, threat detection & prevention, compliance & regulatory requirements, Incident response & disaster recovery.
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RA Capital funds and builds healthcare and life science companies using an evidence-based investment approach informed by TechAtlas, a think tank within RA Capital which analyzes scientific and clinical data from academic literature and industry sources to anticipate how breakthroughs might impact industry stakeholders, physicians, patients, and policymakers.
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Lead the Greater Boston Life Science Team that collectively oversees and contributes to regional strategy, engagement with the local Greater Boston life science ecosystem, venture investment activities, tenant portfolio management, and other strategic projects.
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data science jobs Title: data science lead Company: Joveo Us in Boston, MA
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