Top Hybrid Data Science Jobs in Boston, MA

Lead data science projects focused on personalization in the Sportsbook industry, utilizing advanced statistical models and machine learning to enhance customer experiences and drive innovative content solutions.

The Data Scientist will collaborate with customers on analytics and ML implementations, improve product capabilities, and ensure customer success through technical expertise.

Seeking a Senior Computational Geneticist to analyze biomedical data, collaborate with teams on genetics and genomics, and drive drug discovery initiatives.

The Senior Product Data Scientist will leverage data to optimize the customer experience, evaluate new features, and provide product recommendations through analytics and experimentation.

This PhD internship focuses on data science with responsibilities including designing models, integrating data sources, and supporting machine learning projects. Interns will work closely with their teams, receive mentorship, and may transition to full-time roles post-internship.

The Data Scientist II will lead RWE studies, derive insights from real-world clinical data, and contribute to methodologies using advanced statistical techniques and AI tools, collaborating closely with pharmaceutical partners.

The Senior Business Intelligence Analyst will develop key metrics, drive data governance, provide performance analysis, design dashboards, and collaborate with stakeholders.

The Director of Data Science will oversee data analytics and data science functions, mentor teams, improve processes, maintain technology roadmaps, and manage vendor relationships in the healthcare sector.

The Senior Data Scientist will engage with business partners to solve problems using data science, lead model development, and mentor others, focusing on supply chain and causal modeling.

The Associate Director leads a team in computational biology, focusing on driving therapeutic discovery through quantitative approaches and advanced data analysis. Responsibilities include mentorship, project management, and collaboration across various teams to implement high-dimensional data analyses.