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Polaris Industries Logo

Sr. Data Scientist - Supply Chain Insights

Polaris Industries

$87,000 - $115,000
Sep 11, 2025
Plymouth, MN, US
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At Polaris Inc., the business problem is to drive data-driven decision-making across the supply chain by developing and implementing advanced digital solutions that enable the business to achieve its strategic initiatives, priorities, and goals.

Requirements

  • Extensive experience with data ELT (Extract, Load, Transform) processes, including advanced data engineering techniques.
  • Azure, AWS, or Google Cloud Platform experience required.
  • Advanced proficiency in Alteryx, Power BI, Snowflake, SQL Server, PowerApps, Power Automate, Copilot Studio, and Data Robot.
  • AI experience preferred.
  • In-depth knowledge of data visualization techniques and tools, with the ability to create compelling visualizations.
  • Proficiency in machine learning and predictive analytics, with experience deploying cutting-edge tools and techniques.
  • Web application and or/software development experience required.

Responsibilities

  • Design, develop, and manage sophisticated digital solutions to achieve organizational goals.
  • Collaborate across the supply chain to understand and address complex challenges with innovative digital products.
  • Lead and oversee digital product projects from requirements gathering through to adoption, ensuring successful implementation and value delivery.
  • Architect and optimize efficient data pipelines from source to end product, leveraging advanced data engineering techniques.
  • Combine deep business acumen with advanced analytical skills to contextualize visualizations and products, providing actionable insights.
  • Clearly communicate complex analysis findings, summarize results, and provide strategic recommendations to senior leadership and various organizational levels.
  • Solve intricate analytics problems independently and collaboratively, utilizing state-of-the-art tools and methodologies.

Other

  • A bachelor’s degree in Business Analytics, Data Analytics, Mathematics, Engineering, or a related quantitative discipline
  • 6+ years of professional experience in analytics or a related area of focus is required.
  • Exceptional communication skills across all levels of the organization, with the ability to convey complex analytical concepts clearly and effectively.
  • Strong personal initiative and resourcefulness, with a proven track record of driving projects to successful completion.
  • Ability to work efficiently within tight deadlines and firm schedules, demonstrating strong time management skills.