Data Scientist

Blue Cross Blue Shield of Massachusetts•Boston, MA

7d•Hybrid

About The Position

Ready to help us transform healthcare? Bring your true colors to blue. The Financial and Evaluation Measurement team is seeking a Data Scientist with strong technical expertise and a background in a quantitative discipline. In this role, you’ll work with large, complex healthcare datasets to project and evaluate the financial impact of policy changes, clinical programs, and third-party solutions. You’ll design analytical models and compelling visualizations that inform key business decisions, helping shape strategies to lower costs and improve the quality of care for our members. This role is eligible for our Flex Persona, with candidates local to our Boston or Hingham office preferred. Your Day to Day Analyze large, complex datasets from a robust Enterprise Data Warehouse to identify drivers of healthcare cost trends, market pressures, and profitability. Design and execute advanced statistical models and predictive analytics to inform financial projections and evaluate cost/benefit of business initiatives. Create clear, compelling data visualizations and communicate actionable recommendations that reduce healthcare costs and improve member outcomes. Lead cross-functional analytic projects from design through implementation, ensuring consistent representation of financial performance across the organization. Partner closely with teams including Payment Integrity, Health and Medical Management, Provider Contracting, and others, to ensure alignment between analytics and business strategy. We’re Looking For Bachelor’s degree in Mathematics, Statistics, Data Science, Economics, Healthcare Analytics, or related field required. Master’s degree preferred. 5+ years of professional experience in data science, healthcare analytics, or a related field. Proficiency in SQL, Python and/or R for data extraction, manipulation, and modeling. Experience with data visualization tools (e.g., Tableau, Power BI). Familiarity with SAS is a plus but not required. Strong analytical and problem-solving skills with attention to detail. Excellent communication skills—able to distill complex analyses into clear, actionable insights for non-technical audiences. The proven ability to manage multiple projects and meet deadlines in a fast-paced environment. A collaborative mindset and adaptability to shifting business priorities. What You Bring A passion for using data to improve healthcare quality and affordability. A creative, solution-oriented approach to complex business problems. The ability to influence decision-making through clear data-driven insights and strong stakeholder partnerships. A team-first perspective with a proven record of driving projects to completion and measurable impact. What You'll Gain You will design and validate analytic frameworks, uncover emerging drivers of healthcare cost and utilization, and deliver insights that shape strategy in pricing, product development, financial planning, and forecasting. The Financial and Evaluation Measurement team executes innovative analytics to inform corporate strategy in critical areas including competitiveness, affordability, profitability, provider payment reform and health care policy. As Data Scientist on this team, you will work with a rich dataset and a robust well-established Enterprise Data Warehouse to identify emerging drivers of health care trend and cost, market pressures, and profitability.

Requirements

Bachelor’s degree in Mathematics, Statistics, Data Science, Economics, Healthcare Analytics, or related field required.
5+ years of professional experience in data science, healthcare analytics, or a related field.
Proficiency in SQL, Python and/or R for data extraction, manipulation, and modeling.
Experience with data visualization tools (e.g., Tableau, Power BI).
Strong analytical and problem-solving skills with attention to detail.
Excellent communication skills—able to distill complex analyses into clear, actionable insights for non-technical audiences.
The proven ability to manage multiple projects and meet deadlines in a fast-paced environment.
A collaborative mindset and adaptability to shifting business priorities.
A passion for using data to improve healthcare quality and affordability.
A creative, solution-oriented approach to complex business problems.
The ability to influence decision-making through clear data-driven insights and strong stakeholder partnerships.
A team-first perspective with a proven record of driving projects to completion and measurable impact.

Nice To Haves

Master’s degree preferred.
Familiarity with SAS is a plus but not required.

Responsibilities

Analyze large, complex datasets from a robust Enterprise Data Warehouse to identify drivers of healthcare cost trends, market pressures, and profitability.
Design and execute advanced statistical models and predictive analytics to inform financial projections and evaluate cost/benefit of business initiatives.
Create clear, compelling data visualizations and communicate actionable recommendations that reduce healthcare costs and improve member outcomes.
Lead cross-functional analytic projects from design through implementation, ensuring consistent representation of financial performance across the organization.
Partner closely with teams including Payment Integrity, Health and Medical Management, Provider Contracting, and others, to ensure alignment between analytics and business strategy.