Senior Quality Data Scientist

Polaris • Medina, MN

4d • Onsite

About The Position

The Senior Quality Data Scientist develops scalable advanced analytics and artificial intelligence solutions that transform complex data into actionable insights to identify quality risks, support data-driven decisions, and improve product and operational performance. The role works across business and technical functions to translate quality needs into practical, production-ready solutions. It applies statistical, machine-learning, and AI methods while maintaining appropriate data governance, privacy, security, explainability, human oversight, and documentation standards. This is an office-based position requiring timely analysis, escalation, and decision support in a fast-paced environment shaped by product quality, business risks, regulatory requirements, and executive priorities. The position may require travel up to 5% depending on business needs and project requirements and is not eligible for sponsorship.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, Data Analytics, or a related quantitative field.
• At least 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.
• 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.
• Not eligible for sponsorship.
• Former employees must be eligible for rehire; current employees must be in good standing.

Nice To Haves

• Experience applying data science or AI in quality, manufacturing, engineering, service, warranty, safety, customer experience, or another regulated environment.
• Experience using Snowflake for machine-learning and AI development and deployment, including building user-facing applications with Streamlit.

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 to 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; 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.

Benefits

• Competitive compensation, including a market-leading profit-sharing plan.
• Company contributions to the Employee Stock Ownership Plan and discounted employee stock purchases.
• Generous matching contribution to 401(k), financial wellness education, and consultation.
• Health, dental, and vision insurance.
• Wellness programs.
• Paid time off.
• Gym and personal training reimbursement.
• Life insurance and disability offerings.
• Paid volunteer time off through Polaris Gives.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior