Senior Quality Data Scientist

North Pole Star, S. de R.L. de C.V.; Medina (MN); On-site; USD 117,000 - 145,000; Full time

Job summary

Polaris Inc. is seeking a Senior Quality Data Scientist to develop scalable analytics and AI solutions for quality risk identification and performance improvement.

You will translate quality needs into production-ready tools, apply advanced statistics and ML, and ensure governance and explainability across our operations. The role emphasizes collaboration with business and technical teams, delivering dashboards, models, and workflows, and communicating insights to stakeholders while maintaining

Qualifications

• Bachelor's degree in a quantitative field is required.
• 5+ years of experience in data science, AI, or analytics.
• Experience developing, validating, deploying, and monitoring AI/ML solutions.
• Proficiency with Python, SQL, statistics, predictive modeling, data prep, and visualization.
• Experience applying AI in quality, manufacturing, engineering, or regulated environments.
• Snowflake experience for ML/AI development and dashboards with Streamlit preferred.

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 performance.
• Develop AI-enabled quality solutions using generative AI, NLP, information extraction, anomaly detection, and automation.
• Collaborate with stakeholders to prioritize use cases and translate requirements into valuable solutions.
• Communicate findings and limitations clearly to technical and non-technical audiences and measure adoption and impact.
• Provide guidance and peer review to strengthen data science practices across the team.

Skills

Critical Thinking

Collaboration

Data & Analytical Literacy

Education

Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, Data Analytics, or a related quantitative field

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.

Position Overview

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.

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.

We are an ambitious, resourceful, and driven workforce, which empowers us to THINK OUTSIDE.

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 Employ