Senior AI-Driven Quality Data Scientist

Polaris Industries; Medina (MN); On-site; USD 117,000 - 145,000; Full time

Job summary

Polaris Inc. seeks a Senior Quality Data Scientist to build scalable analytics and AI tools that identify quality risks and improve product and operations performance.

You will translate needs into production-ready solutions across business and technical teams and apply statistical, ML, and AI methods in a fast-paced setting. Applicants should have 5+ years in data science, proficiency in Python/SQL, and experience with Snowflake and Streamlit.

Qualifications

• Bachelor's degree in data science or related quantitative field is required.
• Five years+ of experience in data science, analytics, AI, or ML.
• Experience deploying AI/ML solutions for complex business problems.
• Proficiency with Python, SQL, statistics, predictive modeling, data preparation, and visualization.
• Experience applying data science/AI in quality, manufacturing, or regulated environments preferred.
• Snowflake for ML/AI development and deployment; Streamlit experience preferred.
• Office-based role with travel up to 5% and not eligible for sponsorship.

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 risks.
• Build, validate, deploy, and monitor analytical and ML solutions that identify causes and trends and improve performance.
• Develop AI-enabled quality solutions using generative AI, NLP, information extraction, anomaly detection, predictive models, and workflow automation.
• Partner with stakeholders to prioritize use cases and translate requirements into value-driven solutions.
• Communicate findings, assumptions, limitations, and actions to stakeholders and measure adoption, impact, and value.
• Provide technical guidance, peer review, and knowledge sharing on data science and AI practices.

Skills

Python

SQL

Statistics

Predictive modeling

Data preparation

Data visualization

Education

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

Tools

Snowflake

Streamlit

Job description

Polaris Inc. seeks a Senior Quality Data Scientist to build scalable analytics and AI tools that identify quality risks and improve product and operations performance.

You will translate needs into production-ready solutions across business and technical teams and apply statistical, ML, and AI methods in a fast-paced setting. Applicants should have 5+ years in data science, proficiency in Python/SQL, and experience with Snowflake and Streamlit.