Top Fintech Data Science Jobs in Boston, MA

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.

As a Data Science Co-op, you will collaborate on AI/ML projects in insurance, develop prototypes, and explore emerging technologies.

The AI Data Specialist will manage data annotation projects, collaborate with SMEs, and create datasets for ML teams, leveraging financial expertise and data management skills.

The Staff Analyst will design and analyze pricing experiments, optimize pricing strategies, conduct market trend analyses, and collaborate with cross-functional teams to enhance marketplace outcomes.

The Data Scientist II at Coinbase will perform data analysis on products, design experiments, and maintain key metrics to drive product improvements while collaborating across teams.

The Data Scientist II will analyze large datasets for revenue opportunities, applying advanced analytics in collaboration with business units, managing projects, and reducing fraud losses.

As a Data Scientist II, you'll analyze data, build predictive models, and collaborate with teams to enhance efficiency and provide insights.

The Data Scientist will analyze data to drive business decisions, develop Python models, conduct quantitative analyses, and present insights. This role also focuses on collaborating with cross-functional teams and improving lending programs in a fintech environment.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

As a Data Scientist in Risk & Fraud, you'll analyze data trends, build predictive models, and collaborate with teams to inform business strategies. You'll conduct experiments and improve data quality processes.