Supply Chain Data Scientist - Predictive Analytics

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

Benefits offered by this job

Health, dental, and vision insurance

Employee Stock Ownership Plan

401(k) with matching

Paid time off

Wellness programs

Volunteer time off

Job summary

Polaris Inc. is seeking a Data Scientist to apply analytics, modeling, and data science techniques to optimize Supplier Risk Mitigation within the Supply Chain.

You will transform large datasets into actionable insights and deploy analytics across cloud and edge platforms. You will build predictive models, collaborate with stakeholders, and communicate findings to both technical and non-technical audiences while maintaining data quality and production readiness.

Qualifications

• Bachelor’s degree in Applied Statistics, Mathematics, Data Science, Computer Science, or a related field.
• Minimum of 2 years of professional experience in a predictive analytics-focused role.
• Demonstrated knowledge of statistical methods and predictive/analytical modeling techniques.
• Experience using data mining and predictive modeling tools such as SQL, R, Python, and Snowflake.
• Experience creating data visualizations using Tableau or Power BI.
• Experience preparing, rationalizing, and processing data in a cloud environment.
• Demonstrated ability to build cross-functional relationships and frame analytical results within a business context.
• Strong organizational skills, attention to detail, and ability to manage multiple projects and priorities.
• Strong verbal and written communication skills, including the ability to partner effectively with non-technical stakeholders.
• This position is not eligible for sponsorship.

Responsibilities

• Partner with business stakeholders to understand complex challenges and develop end-to-end data-driven solutions.
• Extract, cleanse, integrate, and prepare large datasets from multiple systems and sources for analysis.
• Perform exploratory and targeted analyses using statistical methods such as clustering, regression, time series, and neural networks.
• Develop, validate, and optimize predictive and analytical models to generate actionable insights.
• Collaborate cross-functionally to translate analytical findings into measurable business improvements.
• Communicate technical analyses and recommendations effectively to technical and non-technical audiences.
• Integrate and deploy model results into production across cloud and edge computing platforms.
• Ensure data quality, model performance, and solution integrity throughout development.
• Document methodologies and findings to support knowledge sharing and reuse.
• Gather feedback from business users to continuously improve data science products.

Skills

Statistical methods

Predictive analytics

Cross-functional collaboration

Communication

Data visualization

Education

Bachelor’s degree in Applied Statistics/Mathematics/Data Science/CS

Tools

SQL

R

Python

Snowflake

Tableau

Power BI

Job description

Polaris Inc. is seeking a Data Scientist to apply analytics, modeling, and data science techniques to optimize Supplier Risk Mitigation within the Supply Chain.

You will transform large datasets into actionable insights and deploy analytics across cloud and edge platforms. You will build predictive models, collaborate with stakeholders, and communicate findings to both technical and non-technical audiences while maintaining data quality and production readiness.