Top Fintech Data Science Jobs in Boston, MA

The Senior Data Scientist will analyze complex economic data, manage research projects, collaborate with cross-functional teams, and implement data-driven strategies to support economic policy and business outcomes.

As a Data Scientist at SentiLink, you'll develop fraud detection models using machine learning, engage in product development, and support analysis across teams. This role emphasizes hands-on technical work and end-to-end project ownership in a fast-paced environment.

The Data Science Manager role focuses on client profitability analytics, price benchmarking, and invoice simplification, overseeing a team and enhancing service delivery in the Asset Servicing division.

As a Data Scientist, you will develop and deploy machine learning models on cloud platforms, optimize sales and marketing via AI solutions, and collaborate with cross-functional teams to drive business value.

Lead data science and AI execution across the Workplace Solutions business, focusing on analytics, machine learning, and partnerships to drive business growth and enhance user experience.

The Director, Data Science oversees data-driven solutions, manages the Data Science team, and collaborates with business units and product development to implement advanced techniques. Provides strategic leadership and mentorship to enhance team effectiveness.

This role focuses on conducting research in equity markets using ML and NLP for alpha generation. You'll collaborate with global teams to develop models and translate innovations into strategies.

The Senior Data Scientist will develop analytical solutions for marketing and risk management, manage data sets, and support modeling activities, collaborating with teams to deliver actionable business insights.

The Data Science Manager leads the development of pricing models and exploratory analysis, mentoring junior staff and ensuring model performance, interpretability, and compliance.

As a Senior Data Scientist at Greenbox Capital, you'll build and scale predictive models, impact credit decisions, and collaborate across teams for data-driven solutions.