Top Hybrid Data Science Jobs in Boston, MA

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

The role involves collaborating with customer analytics teams, improving product capabilities, refining algorithms, and ensuring long-term customer success through data science expertise.

The Senior Data Scientist will develop advanced analytics to enhance product value, mentor junior members, and lead initiatives in healthcare commercialization.

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 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.

As a Data Science Co-op, you'll collaborate within a lab environment to develop AI solutions, prototype algorithms, and analyze data for insurance challenges.

The Senior Product Data Scientist will leverage data science and analytics to inform product development through experimentation, causal inference, and predictive modeling, while collaborating across teams and effectively communicating insights.

Develop computational chemistry models and data science tools to enhance drug discovery. Collaborate with teams to design experiments and evaluate model performance.