BCBSMA
Data Scientist
Boston · Full-time
Sponsorship not specified$116k-$142kDetected 30 days ago
PythonSQLData ScienceData VisualizationStatisticsSASCommunicationProblem SolvingAdaptability
About the role
- 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.
- 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.
Responsibilities
- For more information on how we work and support that work/life balance visit our " How We Work " Page.
- Lead cross-functional analytic projects from design through implementation, ensuring consistent representation of financial performance across the organization.
Requirements
- High school degree or equivalent required unless otherwise noted above
- 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.
- Master's degree preferred.
- 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.
- A passion for using data to improve healthcare quality and affordability.
- A creative, solution-oriented approach to complex business problems.
- 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.
- #LI-Hybrid
- Minimum Education Requirements:
- Location
- Boston Time Type
- Full time
Compensation
- $116,190.00 - $142,010.00
- The job posting range is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting.
- We may ultimately pay more or less than the posted range, and the range may be modified in the future.
- This job is also eligible for variable pay.
- An employee's pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, performance, shift, travel requirements, sales or revenue-based metrics, and business or organizational needs and affordability.
- Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable.
Benefits
- 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.
- Partner closely with teams including Payment Integrity, Health and Medical Management, Provider Contracting, and others, to ensure alignment between analytics and business strategy.
- 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.
This listing is sourced directly from BCBSMA's careers page and normalized into a canonical job model.