Top Hybrid Data Science Jobs in Boston, MA

As a Product Data Scientist, you'll analyze product data, conduct A/B testing, and help guide product strategies through insights and metrics tracking.

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.

Lead observational studies, derive insights from clinical data using advanced statistical methods, and mentor junior scientists while collaborating with pharma partners.

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

Lead design and deployment of graph ML and network-biology analyses to generate drug target hypotheses from RWD and multi-omic data. Prototype methods, integrate solutions with engineers, prioritize tasks, and communicate results to cross-functional stakeholders while championing data science best practices.