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Statistics Data Science Jobs in Minnesota (NOW HIRING)

Data Scientist

Minneapolis, MN · On-site

$100K - $150K/yr

Qualifications Required: • Bachelor's degree in data science, statistics, mathematics, computer science, economics, or a quantitative field with strong statistical foundations • 4-7 years applied ...

Provide technical oversight across core data science methodologies--including statistical, machine learning, and optimization approaches, ensuring method selection, validation, and implementation are ...

Provide technical oversight across core data science methodologies-including statistical, machine learning, and optimization approaches, ensuring method selection, validation, and implementation are ...

... statistics, computer science, economics, data science, or related field • 4+ years of experience in data analytics or a related role • Advanced proficiency in SQL, Python and/or R, Tableau or ...

... statistics, computer science, economics, data science, or related field • 4+ years of experience in data analytics or a related role • Advanced proficiency in SQL, Python and/or R, Tableau or ...

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Statistics Data Science information

Can I get a data science job with a statistics degree?

A statistics degree can provide a strong foundation for a data science role, as it covers essential skills like data analysis, probability, and statistical modeling. However, proficiency in programming languages such as Python or R, experience with data manipulation tools, and knowledge of machine learning are often required to qualify for data science positions.

What are the key skills and qualifications needed to thrive as a Statistics Data Scientist, and why are they important?

To thrive as a Statistics Data Scientist, you need a solid background in statistics, mathematics, and programming, often supported by a degree in a quantitative field. Proficiency with statistical software (such as R or SAS), programming languages (like Python), and data visualization tools is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and conveying insights to stakeholders. These competencies ensure accurate data analysis, actionable business solutions, and clear communication within cross-functional teams.

What are statistics data scientists?

Statistics data scientists are professionals who apply statistical methods and data analysis techniques to extract insights from large and complex datasets. They combine expertise in mathematics, computer science, and domain knowledge to solve real-world problems, build predictive models, and inform decision-making processes. Their work often involves collecting, cleaning, and analyzing data, as well as communicating findings to stakeholders through reports and visualizations.

Is statistics and data science a good career?

Statistics and data science are considered strong career options due to high demand across industries such as technology, finance, and healthcare. These roles typically require skills in programming, data analysis, and machine learning, and often offer competitive salaries and growth opportunities.

Is AI replacing statisticians?

AI is transforming the role of statisticians by automating routine data analysis tasks and enabling more complex modeling. However, statisticians are still essential for designing experiments, interpreting results, and ensuring data quality, making their skills valuable alongside AI tools in data science and analytics environments.

What are statistics and data science jobs?

Statistics and data science jobs involve analyzing data to extract insights, build models, and support decision-making. These roles often require skills in programming languages like Python or R, statistical methods, and data visualization tools. Professionals in these fields work in various industries such as finance, healthcare, and technology to solve complex problems using data-driven approaches.

How do Statistics Data Scientists typically collaborate with cross-functional teams to deliver impactful insights?

Statistics Data Scientists frequently work alongside professionals from engineering, product management, and business teams to define project goals and identify key metrics. Collaboration often includes translating complex statistical analyses into actionable business recommendations and clearly communicating findings to non-technical stakeholders. This role requires strong interpersonal skills, as well as the ability to adapt technical language for diverse audiences. Regular meetings, data review sessions, and shared project management tools are common parts of the workflow, ensuring that insights are aligned with organizational objectives.
What are popular job titles related to Statistics Data Science jobs in Minnesota? For Statistics Data Science jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Statistics Data Science jobs in Minnesota look for? The top searched job categories for Statistics Data Science jobs in Minnesota are:
Infographic showing various Statistics Data Science job openings in Minnesota as of June 2026, with employment types broken down into 69% Full Time, 28% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Senior Data Scientist

$90K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Blue Cross Blue Shield Of Minnesota rating

5.3

Company rating: 5.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

266th of 277 rated insurance


Job description

About Blue Cross and Blue Shield of Minnesota

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
Role DesignationHybrid

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 Annual

Pay 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 Statement

At 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: talent.acquisition@bluecrossmn.com.

Blue Cross and Blue Shield of Minnesota and Blue Plus are nonprofit independent licensees of the Blue Cross and Blue Shield Association.


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