Senior Quality Data Scientist

PII01 Polaris Industries Inc.; Ohio; On-site; USD 117,000 - 145,000; Full time

Benefits offered by this job

Competitive compensation

Profit‑sharing plan

Employee Stock Ownership Plan

Stock purchase discounts

401(k) matching

Wellness programs

Health insurance

Dental insurance

Vision insurance

Paid time off

Gym & training reimbursement

Life insurance

Disability offerings

Volunteer time off

Job summary

Polaris Inc. seeks a Senior Quality Data Scientist to develop scalable analytics and AI solutions that transform data into actionable insights for quality risk identification and decision support.

You will collaborate across business and technical teams to translate needs into production-ready models and dashboards. The role focuses on statistical methods, machine learning, and AI with governance, privacy, and explainability, in a fast-paced product quality environment.

Qualifications

• Bachelor's degree in a quantitative field with strong statistical background.
• Minimum of five years of experience in data science, analytics, AI, ML or related discipline.
• Experience developing, validating, deploying and monitoring AI/ML solutions for complex business problems.
• Proficiency with Python, SQL, statistics, predictive modeling, data prep, and visualization; ability to communicate findings clearly.
• Experience applying data science/AI in quality, manufacturing, or regulated environments preferred.
• Experience with Snowflake for ML/AI development and deployment and building user-facing apps with Streamlit is preferred.
• Willingness to travel up to 5%.

Responsibilities

• Develop datasets, dashboards, metrics, models, and workflows for quality monitoring and performance measurement.
• Apply SPC, reliability/warranty analysis, root-cause methods, predictive modeling, experimentation, and text analytics to identify risks.
• Build, validate, deploy, and monitor AI/ML solutions to identify causes and trends and improve business performance.
• Develop AI-enabled quality solutions using NLP, information extraction, anomaly detection, predictive models, and workflow automation.
• Partner with stakeholders to translate requirements into user-value, feasible solutions and iterative feedback.
• Communicate findings, assumptions, limitations, and actions to technical and nontechnical audiences; measure adoption and impact.
• Provide technical guidance, peer review, and knowledge sharing to strengthen the team.

Skills

Python

SQL

Statistics

Predictive modeling

Data visualization

Snowflake

Streamlit

AI/Machine learning

Quality/domain experience

Education

Bachelor's degree in Data Science, Statistics, CS, Engineering, Math, Data Analytics

Tools

Snowflake

Streamlit

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.

The Senior Quality Data Scientist develops scalable advanced analytics and artificial intelligence solutions that transform complex data into actionable insights for identifying quality risks, supporting data-driven decisions, and improving product and operational performance. The role works across business and technical functions to translate quality needs into practical, production-ready solutions. You will apply statistical, machine-learning, and AI methods while maintaining appropriate data governance, privacy, security, explainability, human oversight, and documentation standards. This office-based position requires timely analysis, escalation, and decision support in a fast-paced environment shaped by product quality, business risks, regulatory requirements, and executive priorities.

Key Responsibilities

• Develop datasets, dashboards, metrics, models, and workflows for quality monitoring, risk identification, and performance measurement.
• Apply statistical process control, reliability and warranty analysis, root-cause methods, predictive modeling, experimentation, and text analytics to identify product, manufacturing, safety, and customer risks.
• Build, validate, deploy, and monitor analytical and machine-learning solutions that identify underlying causes and emerging trends, provide actionable recommendations, and improve business performance.
• Develop AI-enabled quality solutions using generative AI, natural language processing, information extraction, anomaly detection, predictive models, and workflow automation.
• Partner with business and technical stakeholders to prioritize use cases and translate requirements into solutions based on user value, business impact, technical feasibility, and iterative feedback.
• Communicate findings, assumptions, limitations, and recommended actions to technical and nontechnical stakeholders, and measure solution adoption, performance, operational impact, and realized value.
• Provide technical guidance, peer review, and knowledge sharing on data science, statistical modeling, and AI practices to strengthen solution quality and analytical capability across the team.

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.
• 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 Data Science, Statistics, Computer Science, Engineering, Mathematics, Data Analytics, or a related quantitative field.
• A minimum of five years of experience in data science, advanced analytics, AI, machine learning, or a related discipline.
• Experience developing, validating, deploying, and monitoring AI or machine-learning solutions for complex business problems.
• Proficiency with Python, SQL, statistics, predictive modeling, data preparation, and visualization, with the ability to communicate solutions and findings clearly.
• Experience applying data science or AI in quality, manufacturing, engineering, service, warranty, safety, customer experience, or another regulated environment preferred.
• Experience using Snowflake for machine-learning and AI development and deployment, including building user-facing applications with Streamlit, preferred.
• Ability to work effectively in an office-based environment with frequent interaction across business functions, technical teams, and leadership stakeholders.
• Ability to travel up to 5% depending on business needs and project requirements.
• This position is not eligible for sponsorship. #LI-BM1

The starting pay range for Minnesota is $117,000 to $145,000 per year, with individual pay determined by factors including education, experience, knowledge, skills, and geography; starting pay is not commonly positioned 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.

Benefits

• Competitive compensation, including a market-leading profit-sharing plan that is fundamental to our pay-for-performance culture.
• Company contributions to our Employee Stock Ownership Plan.
• Discounted employee stock purchases plan.
• Matching contribution to 401(k).
• Financial wellness education and consultation to plan for their financial future.
• Health insurance.
• Dental insurance.
• Vision insurance.
• Wellness programs.
• Paid time off.
• Gym & personal training reimbursement.
• Life insurance.
• Disability offerings.
• Polaris Foundation and our Polaris Gives paid volunteer time off.

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 or [e-mail]. To read more about employment discrimination protection under U.S. federal law, see: Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov). At Polaris, the need for diverse perspectives and experiences enables our vision of Best People, Best Team. We value our differences and align our passions to do great work. As a highly efficient growth company, we are driven to be agile and adaptable to support our customers. At Polaris we unite to create memorable adventures. Learn more at http://www.polaris.com/careers