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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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Apply your topical knowledge and experience in one or more of the following: Quality, Risk Adjustment, Provider Data, Healthcare Data Interoperability, Value-based Care, Population Health, and/or Clinical Operations/Medical Cost Management to drive data solutions product innovation.
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You will work closely with the FDAM’s Head of Tokenization Platform Strategy and partner with the FDAM investment, risk and data science teams to evaluate and articulate product design, token economics, new utilities, benefits and use cases for tokenizing an asset and positioning across a range of client segments and channels and a range of trading platforms and protocols.
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Director, Data ScienceBoston, United States of AmericaThe role is responsible to lead the Digital Data and Analytics team that supports digital banking, executive strategy, digital marketing, site monitoring, customer insights and segmentation, tag management, and testing.
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Assisting the Head of Sustainability and ESG Task Force to execute against the Sustainability strategy with data gathering/analysis & PMO (project management) support o Gather, format, and model global data to support regulatory requirements (e.g., Scope 3 data from various LivaNova systems / stakeholders and formatted per EPA assumptions.
$125,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Proven track record in TPM roles, demonstrating strong business analysis, project management, and stakeholder engagement skills. Adapt to both Agile and traditional project management models, utilizing relevant tools and practices to ensure project success.
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Proficient in operating personal computers and applicable word processing, spreadsheet, and statistical analysis applications, specifically MS Excel or other data analysis and visualization tools, such as R, Python, or Tableau; excellent written and oral communication, facilitation, and public speaking skills; excellent data analysis, database development and management, strategic thinking, problem solving, leadership and project management skills.
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Minimum of 6 years of experience in pharmaceutical research, with an emphasis on data engineering, data science, data integrity, and data governance. You will work closely with data scientists, data engineers, and platform engineers to scale the Vertex Data Platform, which is Vertex's cutting edge technology ecosystem for Data Engineering, Data Science, and Advanced Analytics.
$210,120 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Scientists confer with the unit in the early stages of a study to discuss project goals, available resources, accepted statistical, bioinformatics, and data management practices. Master’s degree in Bioinformatics, Computational Biology, Biostatistics, Data Science, or related field with 3-5 years’ experience working directly with metabolomics and other -omics data.
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Computer Science and Engineering, Data Analytics, Statistics, Biostatistics, Mathematics, Operations Research, Machine Learning, Management Information Systems, or Security Information Systems , learn more about CRA.
$91,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Apache Spark, Artificial Intelligence (AI), Big Data, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Data Visualization, Machine Learning (Ml), Master Data Management, Python (Programming Language), R (Programming Language), Statistical Analysis.
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We are seeking a Principal Scientist to join the Data Science unit at our Cambridge, MA office to develop and leverage innovative computational biology algorithms supporting translational research use of Caris’ large-scale multi-omics data.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Data Science Management, Director Data Science, Director of Data Science, Director of Engineering, Senior Director of Data Science, Senior Director Engineering, Manager Data Science, Manager Engineering, Artificial Intelligence Management.
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As a Sr. Product Manager – EMSyou willbe responsible for driving the strategy, development, and delivery of cutting-edge Energy Management System (EMS) solutions for standalone battery energy storage and hybrid solar+storagesystems, with an emphasis on large, front-of-the-meter,utility-scale applications.
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project management product data science jobs Title: product in Boston, MA
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