Top Remote Senior Level Data Science Jobs in Boston, MA

The Senior Data Scientist will develop advanced analytics to enhance product value, mentor junior members, and lead initiatives in healthcare commercialization.

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 Senior Data Scientist will analyze user behavior, design experiments, create segmentation strategies, and communicate findings to impact product optimization and business growth.

Lead and mentor a data science team delivering AI-driven insights and predictive analytics for enterprise-level business applications, ensuring strategies align with operational excellence.

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 Senior Data Scientist will analyze customer data, define success metrics, lead technical teams, and develop data infrastructure to improve products at Webflow.

The role involves analyzing healthcare data to optimize care delivery, predict patient needs, and support internal teams through insights, dashboards, and A/B testing.

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.

Lead design and delivery of enterprise fraud detection models, mentor data science staff, contribute hands-on modeling and coding, enforce code quality/version control, liaise with stakeholders, ensure compliance with model risk governance, and translate strategic vision into project plans and deliverables.