Top Remote Senior Level Data Science Jobs in Boston, MA

Embed within a core business area to define problems, build metrics and analyses, run experiments, generate insights from data, and drive decisions end-to-end to improve product, growth, AI/automation, or partnerships.

Lead end-to-end analytics for Customer Success: perform deep-dive diagnostics, build predictive models (churn/upsell), apply causal inference and experimentation, measure impact of initiatives, self-serve data pipelines and dashboards, and deliver AI/LLM solutions and actionable insights to reduce churn and drive revenue.

Senior individual-contributor data scientist partnering with Product, Operations, Finance and executives to run advanced analytics, design experiments, build predictive models and dashboards, develop ETL/ELT pipelines, and translate insights into business recommendations to improve customer experience, operational efficiency, and performance.

Design and build cloud-based analytical products across the Pharmacy Benefits Management ecosystem. Develop predictive and prescriptive models, perform feature engineering and EDA, collaborate with product, data engineering, and business teams, and modernize legacy systems to support forecasting, pricing, and decision-making.

Lead Revenue Analytics by developing data-driven strategies to maximize revenue, own and improve data pipelines, run advanced experiments and causal analyses, lead cross-functional initiatives, mentor junior analysts, and embed AI tools into workflows to scale impact.

Support enterprise cardiovascular quality improvement and clinical research by analyzing clinical datasets, developing dashboards and reports, performing cohort development and statistical analyses, ensuring regulatory and data governance compliance, and communicating findings to clinical and operational stakeholders to inform quality and research initiatives.

The Senior Data Scientist will partner with multiple departments to deliver impactful data solutions, champion data adoption, and evolve data science standards.

Lead Data Science initiatives, build AI/ML solutions, and mentor teams in a collaborative environment, driving innovation in a leading construction equipment venture.

The Senior Policy Economist will conduct data-driven regulatory and economic analysis, collaborating with various stakeholders and using advanced data modeling to inform policy decisions.

Own end-to-end modeling for vendor matching, order routing, and supply-chain optimization. Build predictive, causal, RL and OR solutions; design autonomous decision logic; quantify counterfactual impact; ship production models with data engineering; mentor senior data scientists; write technical design docs; partner on quarterly priorities and expand into revenue cycle and finance domains.