Senior Quality Data Scientist: AI-Driven Quality Analytics

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

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.