Top Hybrid Data Science Jobs in Boston, MA

Senior individual contributor owning Specialty Data Science representation on a multi-year platform transformation and advancing Specialty pricing research. Translate rating program requirements, connect Product/Tech/Actuarial teams, develop and validate predictive models, test new data and techniques, and communicate results to senior leaders.

Lead development of geospatial big data infrastructure and build geographic risk segmentation and pricing models for Property & Casualty insurance. Combine geospatial data engineering, spatial statistics, ML (GLMs, GBMs, spatial ML), and insurance domain knowledge to produce production-ready pricing factors, guide project design, and communicate results to stakeholders. Participate in cross-functional work and travel domestically up to 10%.

As a Data Scientist, you will design and operationalize advanced analytics, develop scalable models, and collaborate with teams to enhance product capabilities in healthcare.

The Senior Data Scientist will implement and test ML models for international products, collaborating with cross-functional teams to drive insights and deploy solutions.

The Senior Data Scientist will design and implement AI-enabled products using clinical trial data, mentor team members, and collaborate with stakeholders.

Use advanced analytics, statistical methods, and machine learning to transform large datasets into actionable insights. Build data solutions and pipelines, perform exploratory analysis, create visualizations, validate models (including generative AI and NLP), collaborate with clients, mentor juniors, and maintain data quality to inform strategic decisions.

Lead data science projects to advance drug development, implementing models for patient selection and clinical trial optimization, and collaborating with cross-functional teams.

The Senior Data Scientist will engage with business partners to solve problems using data science, lead model development, and mentor others, focusing on supply chain and causal modeling.

The Senior NGS Bioinformatician will lead NGS data analysis, product development, and statistical studies for various cancer and rare disease projects.

As a Lead Data Science Analyst, you will develop predictive models, conduct statistical analyses, and create AI-driven solutions to enhance GTM strategy and customer outcomes.

The Data Scientist II will lead RWE studies, derive insights from real-world clinical data, and contribute to methodologies using advanced statistical techniques and AI tools, collaborating closely with pharmaceutical partners.