Data Scientist, Supply Chain Analytics & Forecasting

polaris; Plymouth (MN); Hybrid; USD 87,000 - 115,000; Full time

Benefits offered by this job

Profit sharing

ESOP

Discounted stock purchases

401(k) matching

Job summary

Polaris Inc. is seeking a Data Scientist to apply advanced analytics and statistical modeling to optimize supply chain decisions, with a focus on supplier risk mitigation. You will transform large datasets, build predictive models, and communicate results to both technical and non-technical audiences.

The role involves cross-functional collaboration, deployment of analytics into production across cloud and edge platforms, and ongoing data quality assurance to ensure solution integrity.

Qualifications

• Bachelor's degree in a related field.
• Minimum of 2 years of professional experience in a predictive analytics-focused role.
• Experience with statistical methods and predictive modeling.

Responsibilities

• Partner with stakeholders to develop end-to-end data-driven solutions.
• Extract, cleanse, and prepare large datasets from multiple sources.
• Build and validate predictive/analytical models to generate actionable insights.

Skills

Critical thinking

Collaboration

Communication

Education

Bachelor's degree

Tools

SQL

R

Python

Snowflake

Tableau

Power BI

Job description

Polaris Inc. is seeking a Data Scientist to apply advanced analytics and statistical modeling to optimize supply chain decisions, with a focus on supplier risk mitigation. You will transform large datasets, build predictive models, and communicate results to both technical and non-technical audiences.

The role involves cross-functional collaboration, deployment of analytics into production across cloud and edge platforms, and ongoing data quality assurance to ensure solution integrity.