At Blue Cross and Blue Shield of Minnesota, we are committed to paving the way for everyone to achieve their healthiest life. We are looking for dedicated and motivated individuals who share our vision of transforming healthcare. As a Blue Cross associate, you are joining a culture that is built on values of succeeding together, finding a better way, and doing the right thing. If you are ready to make a difference, join us.
The Impact You Will Have
Blue Cross and Blue Shield of Minnesota is looking for a Senior Data Scientist on our Methods Analytics team!
The Senior Data Scientist on the Identification & Stratification Method Analytics team leads the design, development, and continuous improvement of data-driven processes that identify and prioritize members for care management and utilization management programs. This role focuses on applying statistical and population health methodologies—rather than heavy technical engineering—to analyze member populations, uncover insights, and guide program targeting strategies.
This position is responsible for building and maintaining production identification and stratification workflows that run on a recurring cadence (daily, weekly, monthly) to support both internal care management teams and external vendor programs. The Senior Data Scientist collaborates closely with clinical, product, and analytics partners to refine existing methodologies, develop new identification approaches, and ensure alignment with evolving business and care delivery goals.
The ideal candidate brings a strong healthcare background—such as population health or epidemiology—with deep expertise in statistical analysis, experience working with care management or utilization management concepts, and a collaborative, problem-solving mindset.
Your Responsibilities
- Take lead on data science projects to design and implement models and experiments from end to end, including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation.
- Lead-by-example junior data scientists around mature data science practices e.g., readable code, thorough documentation, comprehensive experimentation.
- Work with business partners to convert ambiguous business problems in clear data science/ML specifications. Use contextual business acumen to convert model predictions/results into impactful insights and provide actionable guidance on risks and limitations.
- Drive conversations with product managers, data engineers, and subject matter experts to ship new models, algorithms and improvements continuously and collaboratively into production.
- Use combination of machine learning knowledge and contextual business acumen to convert results into impactful insights and provide actionable guidance on risks and limitations of model.
- Write narrative documents for model specification and performance analysis to communicate findings and recommendations to teammates, stakeholders and executive leadership.
Required Skills and Experience
- 5+ years of related professional experience. All relevant experience including work, education, transferable skills, and military experience will be considered.
- Hands-on experience in analytics and data science (specific areas of interest include classification/regression, unsupervised learning, time-series/sequence models, NLP, explainability methods, deep learning).
- Solid demonstrable proficiency in data science tools such as Python, R, Spark, SQL.
- Experience implementing predictive algorithms and associated statistical analysis/inference in a data science/ML workflow manipulating both structured and unstructured data.
- Experience crafting and communicating highly technical results to a diverse audience.
- Comfortable working as part of a team and taking the lead.
- High school diploma (or equivalency) and legal authorization to work in the U.S.
Preferred Skills and Experience
- Bachelor's degree.
- Experience with health care data
- Experience with AWS tools
- Experience with version control (for example Git Version Control system)
- Proficiency with Data Bricks or similar tools
Anchored in Connection
Our hybrid approach is designed to balance flexibility with meaningful in-person connection and collaboration. We come together in the office two days each week – most teams designate at least one anchor day to ensure team interaction. These in-person moments foster relationships, creativity, and alignment. The rest of the week you are empowered to work remote.
Compensation and Benefits$90,800.00 - $120,300.00 - $149,800.00 AnnualPay is based on several factors which vary based on position, including skills, ability, and knowledge the selected individual is bringing to the specific job.
We offer a comprehensive benefits package which may include:
Medical, dental, and vision insurance
Life insurance
401k
Paid Time Off (PTO)
Volunteer Paid Time Off (VPTO)
And more
To discover more about what we have to offer, please review our benefits page.
Equal Employment Opportunity StatementAt Blue Cross and Blue Shield of Minnesota, we are committed to paving the way for everyone to achieve their healthiest life. Blue Cross of Minnesota is an Equal Opportunity Employer and maintains an Affirmative Action plan, as required by Minnesota law applicable to state contractors. All qualified applications will receive consideration for employment without regard to, and will not be discriminated against based on any legally protected characteristic.
Individuals with a disability who need a reasonable accommodation in order to apply, please contact us at: [email protected].
Blue Cross® and Blue Shield® of Minnesota and Blue Plus® are nonprofit independent licensees of the Blue Cross and Blue Shield Association.
Skills Required
- 5+ years of related professional experience
- Hands-on experience in analytics and data science (classification/regression, unsupervised learning, time-series/sequence models, NLP, explainability methods, deep learning)
- Proficiency with data science tools such as Python, R, Spark, SQL
- Experience implementing predictive algorithms and performing statistical analysis/inference on structured and unstructured data
- Experience crafting and communicating highly technical results to diverse audiences
- Ability to lead projects and mentor junior data scientists
- High school diploma or equivalency
- Legal authorization to work in the U.S.
- Bachelor's degree
- Experience with health care data
- Experience with AWS tools
- Experience with version control systems (for example Git)
- Proficiency with Databricks or similar tools
Blue Cross and Blue Shield of Minnesota Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Blue Cross and Blue Shield of Minnesota and has not been reviewed or approved by Blue Cross and Blue Shield of Minnesota.
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Retirement Support — The program combines a 401(k) match with additional company retirement contributions and a cash balance pension. This multi-pronged design strengthens long-term financial security beyond standard offerings.
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Parental & Family Support — Benefits include fully paid parental leave, adoption/surrogacy/foster assistance, and childcare support. These resources provide meaningful support across diverse family needs.
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Leave & Time Off Breadth — PTO that increases with tenure, multiple paid holidays, personal days, and paid volunteer time are paired with flexible scheduling. This breadth supports sustained work-life balance across career stages.
Blue Cross and Blue Shield of Minnesota Insights
What We Do
Blue Cross and Blue Shield of Minnesota is a taxable, nonprofit organization with a mission to make a healthy difference in people’s lives. Chartered in 1933 as Minnesota’s first health plan, we’ve promoted wider, more economical and timely availability of health services for the people of Minnesota for 80+ years. Blue Cross® and Blue Shield® of Minnesota is a nonprofit independent licensee of the Blue Cross® and Blue Shield® Association.
