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Data Science Product Manager Jobs in Minnesota (NOW HIRING)

Mayo Clinic

Data Science Analyst

Rochester, MN · On-site

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... Applies and modifies existing scripts or software applications to support data management, data ...

Mayo Clinic

Data Science Analyst

Rochester, MN · On-site

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... Applies and modifies existing scripts or software applications to support data management, data ...

Mayo Clinic

Data Science Analyst

Rochester, MN

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... Applies and modifies existing scripts or software applications to support data management, data ...

Mayo Clinic

Data Science Analyst

Rochester, MN · On-site

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... Applies and modifies existing scripts or software applications to support data management, data ...

Mayo Clinic

Data Science Analyst

Rochester, MN · On-site

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... Applies and modifies existing scripts or software applications to support data management, data ...

Dahl Consulting

Data Product Manager

Minneapolis, MN · On-site

$67.67 - $112.78/hr

Bachelor''s degree in Business, Information Systems, Supply Chain, Computer Science, Data Analytics, or a related field; or equivalent work experience. * Experience managing data products, data ...

New

NextEra Energy

Product Manager I - NEA

Saint Paul, MN · On-site

Applying expertise in advanced mathematics, data and physical sciences, we solve some of the ... Position Specific Description We are seeking a Product Manager to lead the strategy and delivery of ...

NextEra Energy

Product Manager II - NEA

Saint Paul, MN · On-site

Applying expertise in advanced mathematics, data and physical sciences, we solve some of the ... Position Specific Description We are seeking a Product Manager to lead the strategy and delivery of ...

Dahl Consulting

Data Product Manager

Minneapolis, MN

$67.67 - $112.78/hr

Bachelor's degree in Business, Information Systems, Supply Chain, Computer Science, Data Analytics, or a related field; or equivalent work experience. * Experience managing data products, data ...

New

Apex Systems

Product Manager

Saint Paul, MN · On-site

Job#: 3045985 Product Manager Location: Saint Paul, Minnesota (Partial Remote) Role Overview We are ... Collaborate effectively with product owners, engineering, UI, and data science teams. * Transform ...

Shipt

Senior Product Manager

Minneapolis, MN · On-site

$120 - $160/hr

## Senior Product Manager, Merchandising & Marketing ToolsApplyremote type: Hybridlocations ... You'll collaborate closely with engineering, data science, ops, and marketplace teams to build ...

NextEra Energy

Sr Product Manager II - NEA

Saint Paul, MN · On-site

$127K - $168K/yr

Applying expertise in advanced mathematics, data and physical sciences, we solve some of the ... Position Specific Description We are seeking a Senior Product Manager to lead the strategy and ...

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Showing results 21-40

All JobsData Science Product JobsData Science Product Manager JobsData Science Product Manager Jobs in Minnesota

Data Science Product Manager information

See Minnesota salary details

$50.4K

$156.1K

$192.9K

How much do data science product manager jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data science product manager in Minnesota is $156,123.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,100.00 and $192,900.00 per year, depending on experience, location, and employer.

What is a Data Science Product Manager?

A Data Science Product Manager is a professional who bridges the gap between data science teams and business objectives by guiding the development of data-driven products. They work closely with data scientists, engineers, and stakeholders to define product vision, prioritize features, and ensure successful product delivery. Their role involves understanding both the technical aspects of machine learning and analytics as well as user needs and business strategy. This ensures that data-powered products are effective, user-focused, and aligned with organizational goals.

What are the key skills and qualifications needed to thrive as a Data Science Product Manager, and why are they important?

To thrive as a Data Science Product Manager, you need a strong background in product management, data analytics, and a foundational understanding of machine learning, often supported by a degree in a technical or quantitative field. Familiarity with tools like SQL, Python, JIRA, and knowledge of data platforms and agile methodologies is typically required. Excellent communication, strategic thinking, and the ability to bridge technical and non-technical teams are vital soft skills. These competencies ensure successful product development, effective stakeholder alignment, and the delivery of impactful data-driven solutions.

What is the difference between Data Science Product Manager vs Data Analyst?

AspectData Science Product ManagerData Analyst
Required credentialsBackground in data science, product management, or related fields; often requires experience with machine learning and data-driven product developmentTypically holds a degree in statistics, mathematics, or business; skills in data visualization and basic analytics
Work environmentCollaborates with product teams, data scientists, engineers; focuses on developing data products and strategiesWorks with business units to interpret data, generate reports, and support decision-making
Employer and industry usageUsed in tech companies, e-commerce, and organizations developing data-driven productsCommon across finance, marketing, healthcare, and business intelligence roles

The main difference is that Data Science Product Managers oversee the development of data products and strategies, requiring a blend of product management and data science skills. Data Analysts focus on interpreting data and generating insights to support business decisions. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

How does a Data Science Product Manager typically collaborate with data scientists and engineers during a product lifecycle?

A Data Science Product Manager plays a crucial role in bridging the gap between business objectives and technical teams. Throughout the product lifecycle, they work closely with data scientists to define project goals, prioritize features, and translate business needs into actionable data-driven solutions. They also coordinate with engineers to ensure the seamless integration of machine learning models into products, address technical constraints, and facilitate communication between cross-functional teams. This collaborative approach ensures that data science initiatives are both technically feasible and aligned with overall business strategy.

Who gets paid more, a data scientist or a data science product manager?

Typically, data science product managers earn higher salaries than data scientists due to their broader responsibilities, including strategic planning, cross-functional coordination, and product ownership. Data science product managers often have strong business acumen and project management skills, which contribute to their higher compensation. However, salary differences can vary based on experience, industry, and location.

What are popular job titles related to Data Science Product Manager jobs in Minnesota?

For Data Science Product Manager jobs in Minnesota, the most frequently searched job titles are:

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

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

Data Science Product Manager jobs near you
Infographic showing various Data Science Product Manager job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 10% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $156,123 per year, or $75.1 per hour.

Data Science Analyst

Mayo Clinic

Rochester, MN • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 10 days ago

Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 699 frontline employees who took The Breakroom Quiz

129th of 887 rated healthcare providers

Job description

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human capabilities. Candidate has expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory and data science methods used to analyze data.
May work with knowledge architects, informaticians and clinicians at Mayo, and partner outside companies to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care. Applies and modifies existing scripts or software applications to support data management, data extraction, data analysis, and AI as required May develop predictive models on datasets to address various business problems by leveraging statistical modeling, operations research, machine learning, or data mining techniques. May provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist.
Other responsibilities:


Provides data insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.
Has expertise in the data science methods used to analyze data, and knowledge of data types, topics, and scientific challenges and approaches.
Executes analytical procedures in the framework of a specific project work request.
Creates or modifies scripts or software applications to support data management, data extraction and data analysis as required.
Contributes to the interpretation of data analysis and to writing reports.
Helps customers understand the data set and provide training and suggestions for improvement on the data request.
Leverages communication and interpersonal skills and works with subject matter experts
Presents findings in easy to understand terms for the business or clinical practice.

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

Benefits Highlights
  • Medical: Multiple plan options.
  • Dental: Delta Dental or reimbursement account for flexible coverage.
  • Vision: Affordable plan with national network.
  • Pre-Tax Savings: HSA and FSAs for eligible expenses.
  • Retirement: Competitive retirement package to secure your future.
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. 

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law".  Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

A Bachelor's degree in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative and a minimum of three years of professional or research experience in data science will be considered.
 

The preferred candidate will possess a Master's degree or a PhD in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field and a minimum of one year of professional or research experience in data. Demonstrated ability to develop predictive models to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques. May provide consultative services to departments/divisions and committees. Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, and analytical tools and methodologies (e.g. machine learning, statistical packages, modeling, etc.) required. Incumbent must have ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Interpersonal skills and time management skills are required. Requires strong analytical skills and the ability to identify and recommend solutions, advanced computer application skills and a commitment to customer service. Experience with data modeling and date exploration tools.

What Mayo Clinic employees say

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About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919

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