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Data Science Product Manager Jobs in Minnesota (NOW HIRING)

Product Manager (Data Science)

Medina, MN · On-site +1

$140K - $160K/yr

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

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 ...

Data Science Manager Unilever is one of the world's leading suppliers of Food, Home, and Personal Care products, operating in over 190 countries and reaching more than 2 billion consumers every day.

In this role, you'll collaborate with business, data science, and engineering teams to identify AI-driven opportunities, manage product roadmaps, and ensure ethical, high-performing solutions are ...

Data Science Tutor

Edina, MN · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Senior Data Scientist III

Minneapolis, MN · On-site

$115K - $192K/yr

... product management, project management and technologists to execute projects. Required Qualifications: Undergraduate degree in Data Science, Mathematics, Statistics or related field and 10+ years of ...

Senior Data Scientist III

Minneapolis, MN · On-site

$115K - $192K/yr

... product management, project management and technologists to execute projects. Required Qualifications: Undergraduate degree in Data Science, Mathematics, Statistics or related field and 10+ years of ...

Senior Data Scientist III

Minneapolis, MN · On-site

$115K - $192K/yr

... product management, project management and technologists to execute projects. Required Qualifications: Undergraduate degree in Data Science, Mathematics, Statistics or related field and 10+ years of ...

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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 Jul 27, 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 is the hottest job of the 21st century?

Data Science Product Managers are among the most in-demand roles in the 21st century, combining skills in data analysis, product development, and strategic planning. They oversee data-driven products and require knowledge of tools like SQL, Python, and machine learning, often working in fast-paced tech environments. The role is expected to grow as organizations increasingly rely on data to make decisions.

Is 40 too late for data science?

A Data Science Product Manager can enter the field at age 40, as experience, domain knowledge, and skills like programming and statistical analysis are highly valued. Many professionals transition into data science roles later in their careers, and continuous learning through certifications or courses can facilitate this shift. Age is less important than relevant skills and experience in the data science industry.

Can data scientists make $300k?

Data science product managers and senior data scientists with extensive experience, specialized skills, and working in high-cost-of-living areas can earn salaries of $300,000 or more. Achieving this level often requires advanced knowledge of machine learning, strong business acumen, and leadership responsibilities, along with experience at top companies or in executive roles.

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.

Can a data scientist be a product manager?

A data scientist can transition to a product manager role, especially if they develop skills in project management, user experience, and business strategy. While the roles have different focuses—data scientists analyze data and product managers oversee product development—both require strong communication and cross-functional collaboration. Experience with tools like A/B testing, roadmapping, and stakeholder management can facilitate this transition.
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 July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $156,123 per year, or $75.1 per hour.
Product Manager (Data Science)

Product Manager (Data Science)

Polaris, Inc.

Medina, MN • On-site, Remote

$140K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

At Polaris Inc., we have fun doing what we love by driving change and innovation. We empower employees to take on challenging assignments and roles with an elevated level of responsibility in our agile working environment. Our people make us who we are, and we create incredible products and experiences that empower us to THINK OUTSIDE.

Position Overview:
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 function, you will manage cross-domain data products and platforms that support analytics and decision-making across Customer, Marketing, Supply Chain, and Finance. You will define product vision, prioritize investments, and lead delivery across the full data lifecycle to ensure data is accessible, trusted, and aligned to business outcomes. Working in a highly cross-functional model, you will partner with engineering, architecture, and business stakeholders while guiding execution through a distributed development team. This role offers the opportunity to drive enterprise-wide data impact and influence how data enables strategic decision-making at scale.

Key Responsibilities:

  • Define and execute the product vision, strategy, and roadmap for enterprise data platforms and cross-domain data products.
  • Manage and provide direction to an offshore development team of approximately 12 contractors, ensuring alignment to priorities, quality standards, and timelines.
  • Prioritize investments across stakeholders using a structured, value-driven framework aligned to business goals and Data & Analytics KPIs.
  • Own the end-to-end lifecycle of data products, including data ingestion, transformation, modeling, and consumption.
  • Ensure delivery of high-quality, scalable, and reusable datasets and semantic models.
  • Establish and manage SLAs for data availability, freshness, quality, and reliability.
  • Partner with business leaders and technical teams to translate business needs into product requirements and measurable outcomes.
  • Balance competing priorities across domains while maintaining focus on enterprise-wide value.
  • Lead product delivery in partnership with data engineering teams, ensuring iterative and timely value delivery.
  • Maintain and prioritize the product backlog, defining clear requirements and guiding trade-offs across scope, timeline, and technical complexity.
  • Collaborate with engineering, architecture, and governance teams to support data quality, metadata consistency, security, and compliance.
  • Contribute to the evolution and scalability of the enterprise data platform, including storage and integration patterns.

Desired Competencies:

  • Business Acumen: You understand how your work impacts financial performance, operational efficiency, and organizational goals, and you make decisions with the broader business context in mind.
  • Collaboration: You work effectively with others across functions and levels, contributing to shared goals while respecting different perspectives.
  • Data & Analytical Literacy: You interpret data, metrics, or reporting to inform decisions, identify trends, and measure outcomes relevant to your role.

Qualifications:

  • Bachelor's degree in Business Analytics, Data Science, or related field.
  • Minimum of 10 years of progressive experience in data & analytics.
  • Minimum of 5 years of product management experience delivering digital or data-focused products.
  • Strong understanding of data ecosystems, including data warehousing, data modeling, and analytics platforms.
  • Experience working with SAP data highly preferred, including understanding data structures and supporting downstream analytics use cases.
  • Demonstrated success owning product roadmaps and delivering measurable business outcomes.
  • Experience leading cross-functional teams and working with distributed or offshore development resources.
  • Proficiency with product management tools such as JIRA or Azure DevOps.
  • Working knowledge of SQL and ability to engage hands-on with data.
  • Experience with modern data platforms such as Snowflake (preferred), Microsoft Fabric, Azure Synapse, or Databricks.
  • Ability to work in a remote or hybrid model while being commutable to Medina, MN for quarterly meetings.
  • This position is not eligible for sponsorship.

The starting pay range for Minnesota is $140,000 to $160,000 per year. Individual salaries and positioning within the range are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills, and geography. While individual pay could fall anywhere within the range based on these factors, it is uncommon to start at the high end or the top of the range.

#LI-RAO #REMOTE

To qualify for this position, former employees must be eligible for rehire, and current employees must be in good standing.

We are an ambitious, resourceful, and driven workforce, which empowers us to THINK OUTSIDE. Apply today!

At Polaris we put our employees first, by offering a holistic approach to their health and financial wellbeing. Polaris is proud to offer competitive compensation, including a market-leading profit-sharing plan that is fundamental to our pay-for-performance culture.At Polaris, employees are owners of the company through company contributions to our Employee Stock Ownership Plan and discounted employee stock purchases plan. Employees receive a generousmatching contribution to 401(k), financial wellness education and consultation to plan for their financial future. In addition to competitive pay, Polaris provides a comprehensive suite of benefits, including health, dental, and vision insurance, wellness programs, paid time off, gym & personal training reimbursement, life insurance and disability offerings. Through the Polaris Foundation and our Polaris Gives paid volunteer time off, we support employees who actively volunteer their time, efforts, and passions to improve the health and wellbeing of the communities in which they live, play and work. Employees at Polaris drive our success and are rewarded for their commitment.

About Polaris

As the global leader in powersports, Polaris Inc. (NYSE: PII) pioneers product breakthroughs and enriching experiences and services that have invited people to discover the joy of being outdoors since our founding in 1954. Polaris' high-quality product line-up includes the Polaris RANGER, RZR and Polaris GENERAL side-by-side off-road vehicles; Sportsman all-terrain off-road vehicles; military and commercial off-road vehicles; snowmobiles; Slingshot moto-roadsters; Aixam quadricycles; Goupil electric vehicles; and pontoon and deck boats, including industry-leading Bennington pontoons. Polaris enhances the riding experience with a robust portfolio of parts, garments, and accessories. Proudly headquartered in Minnesota, Polaris serves more than 100 countries across the globe. www.polaris.com

EEO Statement

Polaris Inc. is an Equal Opportunity Employer and will make all employment-related decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, marital status, familial status, status with regard to public assistance, membership or activity in a local commission, protected veteran status, or any other status protected by applicable law. Applicants with a disability that are in need of an accommodation to complete the application process, or otherwise need assistance or an accommodation in the recruiting process, should contact Human Resources at 800-765-2747 orTalent.Acquisition@Polaris.com.To read more about employment discrimination protection under U.S. federal law, see:Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov).