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 role involves designing data solutions and analytics roadmaps, leading projects, and ensuring data integrity, while mentoring team members and working closely with clients.

The Senior Data Science Manager will lead and mentor a data science team, execute key projects, influence product strategies, and collaborate across departments to enhance AI/ML capabilities.

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.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

The Senior Data Scientist will build models and analyses, design experiments, integrate datasets, and leverage AI for improved workflows and insights in data science.

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 Principal Statistical Programmer will oversee and deliver statistical programming for clinical trials, ensure high-quality data summaries, and support regulatory submissions while collaborating with CROs and other functions.

The role involves designing reconciliation systems for financial data, improving anomaly detection, automating processes, and collaborating cross-functionally to enhance data quality and reliability in financial operations.