Top Hybrid Data Science Jobs in Boston, MA

Develop data science solutions for Trust and Safety, including fraud and abuse detection. Responsibilities include gathering and preparing data, exploratory analysis, feature engineering, statistical analysis, machine learning, model evaluation, and communicating insights. The role partners with Product, Engineering, Operations, and Business stakeholders to deliver models, dashboards, recommendations, and operational improvements, with emphasis on rare-event detection and imbalanced datasets.

Leads product vision, roadmap, prioritization, and delivery for data science enablement capabilities supporting enterprise AI and machine learning solutions. Serves as Product Owner, translating stakeholder and data scientist needs into backlogs and technical product decisions. Partners with engineering, architecture, and data science teams on model development, deployment, monitoring, MLOps, DevOps, technical debt reduction, and platform adoption. Communicates priorities, outcomes, and recommendations to stakeholders and leadership.

Lead Data Scientist will define goals and metrics for algorithm Test & Evaluation, research T&E methodology, lead vendor coordination, present analyses and results to stakeholders, and transition algorithms into software and real-time embedded systems.

The Manager of Data Science will lead a team focused on machine learning model development, team management, and cross-functional collaboration to advance product goals.

Leads the Partnerships Customer Management Data Science team, mentoring specialists and owning the strategic roadmap for predictive modeling across credit risk, account usage, and portfolio financials. Oversees end-to-end machine learning model development, validation, and production implementation. Partners with analysts, engineers, and product managers while applying Python, AWS, Spark, H2O, and other technologies to analyze large-scale data and deliver customer-focused business outcomes.

Lead data science projects to advance drug development, implementing models for patient selection and clinical trial optimization, and collaborating with cross-functional teams.

Lead analytics initiatives to deliver strategic insights for consumer markets. Develop advanced analytics and BI solutions, manage teams, engage stakeholders, implement cloud analytics, and coach diverse teams to improve performance and decision-making.

As a Data Science Manager, you will lead a team in developing personalized experiences through machine learning, aligning efforts with product and engineering to drive impact and innovation.

Own analytics for Bevi digital experiences and websites, measure incremental impact of new flavors using experiments and quasi-experimental methods, build a flavor recommendation engine, create dashboards, and partner with Product, Design, Engineering, and Data Engineering to improve tracking, data quality, and product decisions.

Lead and grow a Data Science team for Provider Products, set analytical direction, own experimentation and measurement, review methods, partner with product and engineering, hire and develop data scientists, standardize analytics and integrate generative AI to improve workflows and outputs.