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Data Science Product Manager Jobs in Minnesota (NOW HIRING)

Sr Product Manager I - NEA

Saint Paul, MN

$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 ...

Product Manager, Sr

Minneapolis, MN · On-site

$132K - $174K/yr

Agentic AI is dissolving the traditional boundaries between Engineering, UX, Product Management, and Data Science. We're not looking for someone who stays in their lane. We want a product leader that ...

Senior Product Manager

Minneapolis, MN

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Partner closely with Engineering, Data Science, and Design to translate operational strategies into ... Agile Methodology, Content Management Systems (CMS), Product Management, Product Roadmap Work ...

Senior Data Scientist

Eagan, MN · On-site

$90.80 - $149.80/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Take lead on data science projects to design and implement models and experiments from end to end ... Drive conversations with product managers, data engineers, and subject matter experts to ship new ...

Principal Data Science Analyst

Rochester, MN · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

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

Senior Product Manager

Minneapolis, MN · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Partner closely with Engineering, Data Science, and Design to translate operational strategies into ... Agile Methodology, Content Management Systems (CMS), Product Management, Product Roadmap Work ...

Principal Data Science Analyst

Rochester, MN · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Responsibilities Data Scientists at Mayo Clinic perform detailed analysis of large bodies of ... Designs and develops scripts or software applications to support data management, data extraction ...

Sr. Product Manager - Conversational Analytics

Maplewood, MN · On-site

$129K - $171K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Sr. Product Manager - Conversational Analytics Collaborate with Innovative 3Mers Around the World ... Next-Gen Data Product Strategy: Lead the transition from descriptive analytics to Decision Science ...

Sr. Product Manager - Conversational Analytics

Maplewood, MN

$129K - $171K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Sr. Product Manager - Conversational Analytics Collaborate with Innovative 3Mers Around the World ... Next-Gen Data Product Strategy: Lead the transition from descriptive analytics to Decision Science ...

Lead Data Science Consultant

Bloomington, MN · Hybrid

  • Medical

  • Life

  • Retirement

  • PTO

... to senior managers to drive recommendations and strategies based on data driven, analytical ... production MLOps. o Strong SQL experience o Working experience with Visualization tools using ...

Principal Data Science Analyst

Rochester, MN · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

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

Principal Data Science Analyst

Rochester, MN · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

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

We're looking for a Data Product Manager to help shape and deliver data products that support Indirect and Reverse Logistics Supply Chain initiatives. This role partners closely with business ...

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Showing results 41-60

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:

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.

Sr Product Manager I - NEA

NextEra Energy

Saint Paul, MN

$127K - $168K/yr

Full-time

Re-posted 21 days ago


NextEra Energy rating

8.3

Company rating: 8.3 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

23rd of 53 rated energy and utility


Job description

Requisition ID:  95858 

NextEra Analytics offers energy consulting services using industry-leading scientific analysis for planning, siting, forecasting and optimizing all forms of energy projects. Our optimization and analytics platforms integrate open-source technologies to leverage massive, diverse sets of utility operating data. This enables rapid development of operational solutions. Applying expertise in advanced mathematics, data and physical sciences, we solve some of the hardest problems facing the energy industry.
 

Position Specific Description

We are seeking a Senior Product Manager to lead the strategy and delivery of AI-powered products within our NextEra Analytics organization. In this role, you will define and deliver solutions that apply advanced analytics and AI to improve how work gets done across complex, large-scale operations.

You will partner closely with business stakeholders, engineering, and data science teams to understand user needs, prioritize high-value opportunities, and bring products from concept to production. This role requires the ability to synthesize diverse perspectives, uncover underlying needs, and guide products through ambiguity with clarity and focus-translating them into intuitive, effective solutions.

The ideal candidate brings strong product leadership, sound judgment, and experience working within large, operational environments. You engage effectively with a wide range of users, connect strategy to execution, and deliver solutions that scale


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