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Remote Data Science Intern Jobs in Minnesota (NOW HIRING)

Product Manager (Data Science)

Medina, MN ยท 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 ...

Data Scientist

Minneapolis, MN ยท On-site +1

$100K - $150K/yr

Qualifications Required: โ€ข Bachelor's degree in data science, statistics, mathematics, computer science, economics, or a quantitative field with strong statistical foundations โ€ข 4-7 years applied ...

Data Scientist - Remote

Minnetonka, MN ยท 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 ...

Significant experience in AI/ML engineering with a strong data science background. * Demonstrated ... Supportive and flexible working environment, allowing remote work from anywhere.

Data Scientist

Minnetonka, MN ยท 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 Intern information

What is a Remote Data Science Intern?

A Remote Data Science Intern is a student or recent graduate who works with a company or organization on data science projects while working from a location outside the main office, typically from home. Their tasks often include analyzing large datasets, creating data visualizations, building statistical models, and supporting the team with data-driven insights. Remote internships offer flexibility and allow interns to gain real-world experience in data science while collaborating with teams using digital communication and project management tools. This type of internship helps interns build valuable technical and soft skills that are essential in the evolving data science field.

What types of projects do Remote Data Science Interns typically work on, and how do they collaborate with their teams?

Remote Data Science Interns often work on projects such as data cleaning, exploratory data analysis, building predictive models, or developing data visualizations. Collaboration typically occurs through virtual meetings, shared code repositories, and project management tools, allowing interns to interact regularly with data scientists, engineers, and business analysts. Interns are usually assigned a mentor or supervisor who provides guidance and feedback, helping them align their work with team objectives. This setup not only enhances technical growth but also fosters communication and teamwork skills essential for future roles.

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

AspectRemote Data Science InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Computer Science, or related fieldsOften holds a degree in Statistics, Mathematics, or related areas; may have certifications in data analysis tools
Work EnvironmentInternship programs, often part-time or project-based, with mentorshipFull-time or part-time remote roles, focusing on data interpretation and reporting
Employer & Industry UsageUsed by tech companies, startups, and research institutions for entry-level talentCommon across finance, marketing, healthcare, and tech industries for data-driven decision making

The main difference between a Remote Data Science Intern and a Remote Data Analyst lies in experience and scope. Interns are typically students or recent graduates gaining hands-on experience, while Data Analysts are more experienced professionals focused on analyzing and interpreting data to support business decisions. Both roles often work remotely and require familiarity with data tools, but their responsibilities and career stages differ.

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

To thrive as a Remote Data Science Intern, you need a solid background in statistics, programming (Python or R), and data analysis, typically supported by coursework in data science or related fields. Familiarity with tools like Jupyter Notebook, SQL databases, and version control systems such as Git is often expected. Strong problem-solving abilities, self-motivation, and clear communication skills help you collaborate effectively and manage tasks independently in a remote setting. These skills ensure you can analyze data accurately, contribute to team projects, and adapt to the demands of remote work environments.
What are the most commonly searched types of Remote Data Science jobs in Minnesota? The most popular types of Remote Data Science jobs in Minnesota are:
What are popular job titles related to Remote Data Science Intern jobs in Minnesota? For Remote Data Science Intern jobs in Minnesota, the most frequently searched job titles are:
What cities in Minnesota are hiring for Remote Data Science Intern jobs? Cities in Minnesota with the most Remote Data Science Intern job openings:
Product Manager (Data Science)

Product Manager (Data Science)

Polaris, Inc.

Medina, MN โ€ข 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).