Data Scientist

Blue Cross Blue Shield of Massachusetts•Boston, MA

8d•$116,190 - $142,010•Hybrid

About The Position

The Account Analytics team is seeking a Data Scientist to use large and complex healthcare datasets to deliver cost and utilization insights to accounts. The role uses Python to design and automate data tables, visualizations, and PowerPoint presentations. The Data Scientist collaborates with business partners to improve client deliverables, answer clarifying questions, and analyze cost drivers raised in account feedback. The position is eligible for the Flex worker persona, with work at the Boston or Hingham office once per month. The role requires a bachelor’s degree in a quantitative or related field and 5–7+ years of professional experience in data science, healthcare analytics, or a related field. A master’s degree is preferred. The position is based in Boston and is full-time, with a stated salary range of $116,190–$142,010 and eligibility for variable pay.

Requirements

Bachelor’s degree in Mathematics, Statistics, Data Science, Economics, Healthcare Analytics, or a related field.
5–7+ 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 cloud-based tools such as Snowflake or S3 buckets.
Strong analytical and problem-solving skills, with attention to detail.
Excellent communication skills and ability to explain complex analyses as clear, actionable insights for non-technical audiences.
Ability to manage multiple projects and meet deadlines in a fast-paced environment.
Collaborative mindset and adaptability to shifting business priorities.

Nice To Haves

Master’s degree.

Responsibilities

Use Python to build automated reporting pipelines that generate data tables, identify metrics, create graphs, and integrate them into PowerPoint slides for account presentations.
Develop and organize code enhancements by modifying existing processes and building robust new code with little to no supervision.
Serve as a subject matter expert by identifying key drivers and addressing clarifying questions from account presentation meetings.
Clean raw data and review input files to ensure the accuracy, consistency, and integrity of downstream analytics.
Collaborate with internal business partners to refine and improve client-facing slide decks and output files.
Partner with Underwriting, Health and Medical Management, Sales, and Finance to align analytics with business strategy.