1

Data Science Jobs in Minnesota (NOW HIRING)

We are offering online training on Data Science. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension * Help with OPT Employment letter: Help with drafting ...

Data Scientist

Minneapolis, MN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

In this role, you will bridge the gap between traditional data science and software engineering by writing clean, modular Python code to build robust AI capabilities embedded directly into our ...

Data Scientist

Minneapolis, MN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

In this role, you will bridge the gap between traditional data science and software engineering by writing clean, modular Python code to build robust AI capabilities embedded directly into our ...

Data Scientist III

Plymouth, MN · On-site

$90 - $153.30/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Bachelor's degree in Data Analytics, Data Science, Computer Science, Applied Mathematics, Engineering, or related field5+ years (or 3+ years with a masters) of professional experience in analytics ...

Senior Data Scientist

Virginia, MN · On-site

$160 - $220/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field. Master's or PhD preferred. * 5+ years of experience building and deploying production ML ...

New

Senior Data Scientist

Minneapolis, MN · On-site

$120 - $180/hr

Expertise in data science, machine learning, data mining, operations research, and statistical modeling techniques, specifically for high-volume and complex datasets. * Knowledge of best coding ...

Data Scientist III

Plymouth, MN · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's degree in Data Analytics, Data Science, Computer Science, Applied Mathematics, Engineering, or related field * 5+ years (or 3+ years with a masters) of professional experience in analytics ...

Data Scientist III

Plymouth, MN · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's degree in Data Analytics, Data Science, Computer Science, Applied Mathematics, Engineering, or related field * 5+ years (or 3+ years with a masters) of professional experience in analytics ...

Product Manager (Data Science)

Medina, MN · On-site +1

$140K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will serve as a Product Manager for Data Science, advancing enterprise Data & Analytics capabilities by delivering scalable, high-quality data products. Positioned within a centralized IT ...

Product Manager (Data Science)

Medina, MN · On-site

$140K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will serve as a Product Manager for Data Science, advancing enterprise Data & Analytics capabilities by delivering scalable, high-quality data products. Positioned within a centralized IT ...

Associate Data Scientist - Estimating

Minneapolis, MN · Hybrid

$69K - $104K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role is ideal for recent graduates with a background in data science, data analytics, artificial intelligence, or a related field. VISA SPONSORSHIP IS NOT ELIGIBLE FOR THIS POSITION ...

Showing results 41-60

Data Science information

See Minnesota salary details

$36.7K

$120.2K

$192.5K

How much do data science jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data science in Minnesota is $120,211.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,500.00 and $133,200.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What are the most commonly searched types of Data Science jobs in Minnesota?

The most popular types of Data Science jobs in Minnesota are:

What job categories do people searching Data Science jobs in Minnesota look for?

The top searched job categories for Data Science jobs in Minnesota are:

What cities in Minnesota are hiring for Data Science jobs?

Cities in Minnesota with the most Data Science job openings:

Infographic showing various Data Science job openings in Minnesota as of August 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $120,211 per year, or $57.8 per hour.

$90K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Blue Cross Blue Shield Of Minnesota rating

6.0

Company rating: 6.0 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

286th of 309 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.


What Blue Cross Blue Shield Of Minnesota employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom