Top Data Science Jobs in Boston, MA

The Applied AI Analyst uses AI to solve business problems by designing workflows, optimizing processes, and generating insights to drive efficiency and decision-making across teams.

The Data Scientist collaborates with stakeholders to develop machine learning applications, analyze data, and enhance team operations, improving processes with data-driven insights.

The Senior Data Scientist will lead the development of AI/ML models, collaborating with teams to drive business insights and enhance customer experiences. Responsibilities include managing data sources, designing algorithms, creating dashboards, and mentoring team members while ensuring the ethical use of AI solutions.

As a Staff Data Scientist, you'll develop and deploy machine learning models to enhance renter experiences and optimize property partnerships, collaborating across teams to translate data insights into actionable strategies.

NextGen offers an internship for students to learn data science and machine learning. Interns will receive mentorship and work on real projects, gaining skills in Python, ML algorithms, data analysis, and visualization.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

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

Conduct data science research on experimental methodologies and causal modeling, develop tools to analyze experimental data, prototype improvements to platform features, and communicate results to internal teams and external stakeholders to drive product and research decisions.

The Data Science Intern will collect and preprocess data, build machine learning models, and assist in deploying models while collaborating with team members.

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.