Top Remote Senior Level Data Science Jobs in Boston, MA

The Director of Data Science leads data science and machine learning initiatives for Commerce Media, translating complex problems into scalable solutions, mentoring teams, and communicating insights effectively across functions.

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.

The Senior Data Scientist will leverage advanced analytical techniques to measure marketing effectiveness and drive business growth through insights from user behavior data.

As a Senior Data Analyst II, you will support growth initiatives by analyzing revenue metrics, automating workflows, and providing insights to drive customer success.

The role involves leading data science initiatives to drive business outcomes, mentoring junior scientists, performing analyses for decision-making, and using advanced technologies for optimization and causal analyses.

The Lead Analyst will shape data-driven talent decisions by conducting predictive analyses, developing dashboards, and mentoring other analysts, impacting workforce strategies across the organization.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

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 Sr. Statistician will apply biostatistical methods for clinical trials, oversee project analysis, support research, and manage personnel.

As a Senior Data Scientist, you'll build scalable models to improve logistics and enhance user experiences, collaborating with product managers on high-value problems.