Top Data Science Jobs in Boston, MA

As a Data Scientist, you will leverage data to improve client experiences by designing metrics, running experiments, and creating data models. You'll support cross-functional teams in decision-making while crafting the company's data science culture.

As a Data Science Intern, you will analyze data, communicate insights to stakeholders, and collaborate with ML scientists to enhance products and models.

Lead development of a greenfield data product by partnering with customers and product teams to build analytics and models (simulation, Bayesian networks, optimization, ML). Maintain existing analytics, improve predictive churn models, and translate customer needs into production-grade SQL/dbt pipelines, dashboards, and data-driven product features.

The Principal Data Scientist will optimize marketing investments through advanced decision support systems, collaborating with multiple business stakeholders, and leading the development of analytics frameworks.

Lead the development of analytics solutions for market access decisions, performing complex analyses on patient data, building predictive models, and collaborating with cross-functional teams to drive insights and strategic initiatives.

As a Data Scientist, you will design and deliver complex predictive models, communicate insights, and mentor less experienced talent while solving key business challenges using advanced statistical techniques and machine learning.

The Senior Data Scientist will design AI solutions, collaborate on MLOps, and oversee development of machine learning models to enhance healthcare outcomes.

Lead Data Scientist responsible for managing projects in data engineering, model design, and infrastructure deployment while collaborating with clients to develop data-driven solutions.

The Principal Scientist will apply expertise in human genetics and statistical genetics to support new medicine development, perform complex analyses, and collaborate with multidisciplinary teams to address scientific questions.

Lead bioinformatics initiatives, develop pipelines for cell and gene therapy, support NGS, and collaborate with multi-disciplinary teams.