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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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This role will work with Early Clinical Development program's translational biomarker science leads, where processing and interpreting multi-platform and multi-dimensional 'omics' data in clinical settings is being employed to monitor pharmacodynamics in near real-time, and inform future patient selection hypotheses.
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NASA's IMPACT Project Office monitors trends and progressions across the informatics, data science, and information technology communities in order to inform strategy and develop effective solutions for Earth science data management and dissemination.
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The Data Science team at Cash App is customer-obsessed, collaborates intensely with other key disciplines, and always makes decisions with an eye towards Cash App’s business as a whole. A graduate degree in statistics, data science, or similar STEM field with 5+ years of experience in a relevant role.
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A bachelor s degree from an accredited college or university in a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health that included a minimum of 12 semester or 18 quarter units of coursework in data science, predictive analytics, quantitative research methods, or statistical analysis.
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The Department of Homeland Security (DHS) is recruiting professionals to support a range of technical roles in Data Science, including Data Scientist, Data Engineers, Artificial Intelligence (AI) Specialist, AI Operations Analyst, Data Modeler, Data Security Officer and Operations Research Analyst.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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Degree: Bachelor's or Master's degree in a relevant discipline (e.g., Computer Science, Data Sciences, Decision Science, Engineering, Information Systems, Information Technology, Internet of Things, Applied Math, Machine Learning, Quantum, or other technology majors.
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Are preferredBasic Knowledge of security-related topics such as authentication, entitlements, identity management, data protection, data leakage prevention, validation checking, encryption, hashing, principle of least privilege, software attack methods, and data storageFundamental knowledge of process reengineering and methodologies, including flowcharting and technical design documentationAbility to convey complex technical security concepts to technical and non-technical audiences.
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5 or more years of demonstrated Experience with HR People Analytics, Workforce Intelligence, or Learning and Talent analytics preferably in corporate HR setting (e.g., Organizational Effectiveness, HR Metrics/Analytics, Data Science, Talent Analytics, Market Research.
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Studying Business Analytics, Data Engineering, Data Science, Computer Engineering, Electrical Engineer, or Computer Science. Fall 2024 Graduate Data Analyst Engineering Co-Op/Intern LOCATIONS: Boxborough ONSITE/HYBRID : These roles require the student to work full time (40 hours a week), either in a hybrid or onsite work structure throughout the duration of the co-op/intern term.
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Master Degree in Microbiology, Genomics, Bioinformatics, Computational Biology, Data Analytics, Data Engineering or life science and agricultural related quantitative disciplines. Work as a member of the Data Science and Engineering team in.
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Working knowledge of relevant data science and digital health topics, including algorithm development and deployment, generative AI, precision medicine, RWD. 9+ years, of relevant experience in biopharma alliance management and business operations, data science, digital health, or other relevant biopharmaceutical industry roles, including PE/VC/consulting.
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Master’s degree within a highly technical/quantitative discipline (Data Science, Statistics, Computer Science, Mathematics, etc.) Strong working knowledge of data mining algorithms including AI and ML techniques such as regression, decision trees, probability networks, association rules, clustering, deep learning, neural networks, Bayesian models, etc.
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data science jobs Title: science Company: Wcg
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