Top Hybrid Data Science Jobs in Boston, MA
The Research Chef will be responsible for conducting research and development exploration, testing competitive products, developing recipes, setting KPIs, and staying updated on industry trends. They will collaborate with cross-functional teams to provide a food-first point of view for new product development.
Senior Data Scientist responsible for expanding the data science team's impact on internal operations and developer-facing features, saving time across multiple teams, and contributing to key performance metrics like churn and revenue retention at Klaviyo.
Join Jellyfish Research as a Data Scientist to facilitate data-informed decision-making, collaborate with teams, build algorithms, and work on data platforms and pipelines. Exciting opportunity in a fast-growing business environment led by experienced entrepreneurs.
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As the Data Science Technical Lead for Sleep at WHOOP, you will develop and maintain algorithms for sleep tracking and analysis, collaborate with MLOps engineers, conduct research on sleep physiology, and mentor other data scientists. Bachelor's degree and 5+ years of experience required.
Join our Risk Data Science and Analytics Team to improve risk controls using statistical and analytical techniques. Lead experiments to prevent fraud and impact success metrics by developing machine learning solutions. Partner with cross-functional teams to influence product roadmaps and procedures. Must have 8+ years of experience and expertise in SQL, Python, Looker, statistics, and machine learning.
Join Square as a Data Scientist to improve risk controls and prevent fraud for sellers. Lead experiments, develop data pipelines, implement machine learning solutions, and influence product roadmaps.
ZS is seeking a Data Science Engineer to work on predictive modeling for the clinical development ecosystem. Responsibilities include building model pipelines, scaling machine learning algorithms, enhancing ML Engineering platforms, implementing ML Ops, and writing production-ready code.
The Principal Scientist will provide scientific leadership in the identification and development of novel advanced drug delivery systems to achieve administration of biologics including peptides, proteins and other new modalities.
Design, develop, and implement machine learning models for various applications. Research and implement state-of-the-art machine learning algorithms. Design and implement cloud architectures for machine learning workflows. Collaborate with cross-functional teams to deliver effective solutions.
Passionate Data Scientist needed to work on pharmacoepidemiology studies, collaborate with external Pharma partners, translate research into actionable insights, and stay up-to-date with methodological advances. Build infrastructure, comply with regulations, and possess strong data manipulation, analysis, and communication skills. Ideal candidates have a self-driven attitude, familiarity with machine learning techniques, and experience in cancer genetics or related fields.
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