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Remote Data Science Jobs in Minnesota (NOW HIRING)

Polaris, Inc.

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 ... Ability to work in a remote or hybrid model while being commutable to Medina, MN for quarterly ...

Tactile Medical

Data Scientist

Minneapolis, MN · On-site +1

$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 ...

UnitedHealth Group

Data Scientist - Remote

Minnetonka, MN · On-site +1

$112K - $193K/yr

The role partners closely with Data Scientists, Product Teams, and Platform Teams to deploy AI-driven intelligence across PI use cases * Contribute to experimentation with novel ML and Generative AI ...

UnitedHealth Group

Data Scientist

Minnetonka, MN · Remote

$60K - $107K/yr

The team is a blend of AI/ML engineers, data scientists, data engineers, and GenAI specialists who collaborate to build and scale endtoend ML systems. We align closely with the organization's mission ...

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Remote Data Science information

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

Can I work remotely in data science?

Yes, data science is a field that often offers remote work opportunities. Many companies hire data scientists to work remotely, requiring skills in programming, data analysis, and tools like Python or R. Remote data science roles typically involve collaboration through online platforms and may require strong communication skills.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Remote data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills in programming, statistics, and machine learning. Many professionals transition into data science later in life by gaining certifications and building portfolios, making age less of a barrier in this field.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

What is the difference between Remote Data Science vs Remote Data Analyst?

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

How can I make $100,000 a year working from home?

Remote data scientists can earn $100,000 or more annually by gaining advanced skills in machine learning, programming languages like Python or R, and data visualization tools. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand industries can help achieve this income level while working remotely.
More about Remote Data Science jobs
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 are popular job titles related to Remote Data Science jobs in Minnesota? For Remote Data Science jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Minnesota look for? The top searched job categories for Remote Data Science jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Data Science jobs? Cities in Minnesota with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Minnesota as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
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 24 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).

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