Data Scientist

Data Scientist

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:

As a Data Scientist, you will apply advanced analytics, statistical modeling, and data science techniques to solve complex business problems and support data-driven decision-making across Polaris. In this role, you will focus on the Supply Chain organization, optimizing decisions related to Supplier Risk Mitigation by transforming large and varied datasets into actionable insights. You will collaborate with cross-functional partners to identify opportunities, build predictive models, and communicate results clearly to both technical and non-technical audiences. You will also help deploy analytics solutions into production while maintaining high standards for data quality and solution performance. This role offers the opportunity to shape critical business decisions by developing impactful, end-to-end analytics and technology solutions.

Key Responsibilities:

• Partner with business stakeholders to understand complex challenges and develop end-to-end data-driven solutions.
• Extract, cleanse, integrate, and prepare large datasets from multiple systems and sources for analysis.
• Perform exploratory and targeted analyses using a variety of statistical methods, including clustering, regression, decision tree/random forest, time series, and neural networks.
• Develop, validate, and optimize predictive and analytical models to generate actionable insights and recommendations.
• Collaborate cross-functionally to translate analytical findings into measurable business improvements.
• Communicate technical analyses, insights, and recommendations effectively to both technical and non-technical audiences.
• Integrate and deploy model results into production across cloud and edge computing platforms.
• Ensure data quality, model performance, and solution integrity throughout the development process.
• Document methodologies, findings, and results using established templates to support knowledge sharing and reuse.
• Gather feedback from business users to continuously improve data science products.

Desired Competencies:

• Critical Thinking: You analyze information objectively, evaluate options, and apply sound judgment to solve problems and make informed decisions.
• Collaboration: You work effectively with others across functions and levels, contributing to shared goals while respecting different perspectives.
• Communication: You clearly convey information, ideas, and expectations to diverse audiences, adjusting your message to ensure understanding and alignment.

Qualifications:

• Bachelor's degree in Applied Statistics, Mathematics, Data Science, Computer Science, or a related field.
• Minimum of 2 years of professional experience in a predictive analytics-focused role, excluding internships and academic coursework.
• Demonstrated knowledge of statistical methods and predictive/analytical modeling techniques and practices.
• Experience using data mining and predictive modeling tools such as SQL, R, Python, and Snowflake.
• Experience creating data visualizations using tools such as Tableau or Power BI.
• Experience preparing, rationalizing, and processing data in a cloud environment.
• Demonstrated ability to build cross-functional relationships and frame analytical results within a business context.
• Strong organizational skills, attention to detail, and ability to manage multiple projects and priorities.
• Strong verbal and written communication skills, including the ability to partner effectively with non-technical stakeholders.
• This position is not eligible for sponsorship.

The starting pay range for Minnesota is $87,000 to $115,000 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 can fall anywhere in the range based on these factors, it is uncommon to start at the high end or top of the range.

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!