Supply Chain Analytics - Data Scientist

International Motors, LLC•Lisle, IL

About The Position

International has an exciting opportunity for a Supply Chain Analytics - Data Scientist to join our team! We are seeking a highly analytical and motivated Data Scientist to support our Supply Chain organization through advanced data analytics, forecasting insights, and strong cross-functional teamwork. This role will transform large and complex datasets into actionable business intelligence that improves demand planning, delivery reliability, supplier collaboration, and operational efficiency. The ideal candidate has a passion for solving business problems with data, enjoys working with cross-functional teams, and can communicate complex analytical findings to both technical and non-technical audiences.

Requirements

Bachelor’s degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field and no experience OR Currently pursuing a Bachelor’s degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field and no experience and will obtain degree prior to first day of employment
Qualified candidates, excluding current employees, must be legally authorized on an unrestricted basis (US Citizen, Legal Permanent Resident, Refugee or Asylee) to be employed in the United States.
We do not anticipate providing employment related work sponsorship for this position (e.g., H-1B status)

Nice To Haves

Able to develop and maintain relationships with stakeholders
Possess strong organizational and time management skills
Able to work independently
Possess strong analytical skills
Strong in Excel and able to work with complex spreadsheets
Commercial vehicle technical experience a plus
Must be able to get results through influence.
Strong leadership and communication skills
Experienced with PowerBI

Responsibilities

Drive data quality improvements in commodity specific demand forecasts.
Troubleshoot and confirm Supplier forecast accuracy inquiries for internal and external stakeholders.
Collect, validate, and analyze large datasets from multiple business systems.
Partner with suppliers and internal stakeholders to identify root causes and corrective actions that will avoid future production downtime and expedite costs.
Build dashboards, visualizations, and automate current reports using Microsoft PowerApps, Co-Pilot AI, and PowerBI.
Monitor KPI performance to identify process gaps impacting both customer satisfaction and on time delivery performance.
Recommend and support implementation of process improvements that enhance delivery reliability and responsiveness for top customer accounts.
Conduct ad hoc analyses to support operational and strategic decision-making.
Support digital transformation and analytics initiatives across the Production and Logistics organization.
Collaborate with Supply Chain, Sales, Procurement, Manufacturing, Customer Service, and Finance teams to improve processes through data-driven decision making and problem solving.