Top Remote Senior Level Data Science Jobs in Boston, MA

This role focuses on utilizing data analysis to support product and go-to-market functions, driving customer acquisition and retention while mentoring junior analysts.

Lead the Data Science team to drive ML strategies, optimize ROAS, establish MLOps, and mentor talent. Collaborate cross-functionally to translate business needs into ML solutions.

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

Join the Data Science Team at Edmunds to design and implement AI-driven initiatives, optimize products, and collaborate with engineers and product managers in the development of ML solutions.

The Analytics Lead will drive the evolution of data infrastructure and reporting, manage data governance, and mentor team members. Responsibilities include designing databases, developing ETL pipelines, and ensuring data quality across HR platforms while collaborating with stakeholders for data-driven decisions.

Lead development and delivery of Caris data products by directing cross-functional teams, driving AI/ML and multi-omic integration, defining product roadmap, engaging pharma partners, and translating complex science into actionable insights to advance translational research and precision medicine.

Lead design and deployment of graph ML and network-biology analyses to generate drug target hypotheses from RWD and multi-omic data. Prototype methods, integrate solutions with engineers, prioritize tasks, and communicate results to cross-functional stakeholders while championing data science best practices.

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

The Data Domain Lead oversees the data strategy and delivery in clinical research, managing data initiatives, teams, and stakeholder engagement to drive value and compliance.

The Senior Analytics Engineer will design scalable data models, manage analytical frameworks, run A/B tests, and collaborate with cross-functional teams to drive business impact through data-driven decisions.