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Data Scientist Forecasting Remote Jobs in Minnesota

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 ...

Vervint

Director of Data Intelligence

Minneapolis, MN · On-site +1

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the ... Build and lead a high-performing team of data scientists, analysts, and engineers. * Promote a ...

Danaher

Principal Clinical Scientist

Chaska, MN · On-site +1

Ability to critically review and interpret scientific and clinical trial data, and oversee the ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

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Data Scientist Forecasting Remote information

What are the key skills and qualifications needed to thrive as a data scientist specializing in forecasting in a remote role?

To thrive as a Data Scientist specializing in Forecasting, you need a strong background in statistics, mathematics, and machine learning, usually supported by a degree in a quantitative field. Proficiency with programming languages such as Python or R, experience with forecasting libraries (like Prophet or ARIMA), and familiarity with cloud-based data platforms are typically required. Excellent communication, problem-solving abilities, and self-motivation are crucial soft skills for collaborating remotely and translating complex findings into actionable insights. These skills and qualities are vital for building accurate predictive models and ensuring effective decision-making in distributed teams.

What is the difference between Data Scientist Forecasting Remote vs Data Analyst Forecasting Remote?

AspectData Scientist Forecasting RemoteData Analyst Forecasting Remote
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; often some experience with machine learningBachelor's in Data Analysis, Statistics, or related field; typically less emphasis on advanced modeling
Work EnvironmentCollaborative teams, often in tech or finance industries; remote work commonBusiness units, marketing, or finance teams; remote options widely available
Employer & Industry UsageTech companies, finance, e-commerce; focus on predictive modeling and forecastingRetail, marketing, finance; focus on reporting and trend analysis

Data Scientist Forecasting Remote roles focus on advanced predictive modeling and machine learning, requiring higher technical skills and credentials. Data Analysts Forecasting Remote positions emphasize data reporting and trend analysis with less emphasis on complex modeling. Both roles are often remote and serve similar industries, but differ in technical depth and responsibilities.

How does a remote data scientist specializing in forecasting typically collaborate with cross-functional teams?

Remote Data Scientists in forecasting roles regularly collaborate with product managers, engineers, and business analysts through virtual meetings, shared dashboards, and project management tools. They are often responsible for presenting forecast results, discussing model assumptions, and incorporating stakeholder feedback to refine predictions. Effective communication and documentation are crucial, as team members may operate across different time zones. This collaborative environment helps ensure that forecasting models align with business goals and can be effectively integrated into decision-making processes.

What does a data scientist specializing in forecasting do when working remotely?

A Data Scientist in Forecasting working remotely uses statistical models, machine learning algorithms, and large datasets to predict future trends or outcomes for a business. Their tasks often include gathering and cleaning data, building predictive models, evaluating their accuracy, and communicating findings to stakeholders. Remote data scientists collaborate with teams through virtual meetings and cloud-based tools, ensuring their forecasts support business decisions. The remote aspect offers flexibility but requires strong communication and self-management skills.
What are the most commonly searched types of Data Scientist Forecasting jobs in Minnesota? The most popular types of Data Scientist Forecasting jobs in Minnesota are:
What are popular job titles related to Data Scientist Forecasting Remote jobs in Minnesota? For Data Scientist Forecasting Remote jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Data Scientist Forecasting Remote jobs in Minnesota look for? The top searched job categories for Data Scientist Forecasting Remote jobs in Minnesota are:
Data Scientist Forecasting Remote jobs near you

Product Manager (Data Science)

Polaris, Inc.

Medina, MN • On-site, Remote

$140K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 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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