Supply Chain Data Scientist — Forecasting & Analytics

International Motors, LLC

Lisle (IL)

On-site

USD 90,000 - 130,000

Full time

14 days+

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Job summary

International Motors, LLC in Lisle, IL invites a Supply Chain Analytics - Data Scientist to turn complex data into actionable insights that drive demand planning, delivery reliability, and supplier collaboration. You will work with Production, Logistics, Sales, and Finance to support data-informed decisions.

The role emphasizes forecasting accuracy, KPI monitoring, and building automated reports using PowerBI, PowerApps, and Co‑Pilot AI, with a strong emphasis on cross-functional teamwork and

Qualifications

  • Degree in CS, statistics, data science, MIS, math, economics, or engineering.
  • Fresh graduates or in final year with degree to be obtained before starting.
  • Authorized to work in the United States without sponsorship.

Responsibilities

  • Drive data quality improvements in demand forecasts.
  • Collect, validate, and analyze large datasets from multiple systems.
  • Build dashboards and automate reports using PowerBI, PowerApps, and Co-Pilot AI.
  • Identify root causes with stakeholders to reduce downtime and costs.
  • Monitor KPI performance and identify process gaps.
  • Support digital transformation across Production and Logistics.

Skills

Data analysis
PowerBI
Excel
Stakeholder management
Forecasting
Cross-functional teamwork

Education

Bachelor's degree in quantitative field
Degree in quantitative field with degree to be obtained before start

Tools

PowerBI
PowerApps
Co-Pilot AI

Job description

International Motors, LLC in Lisle, IL invites a Supply Chain Analytics - Data Scientist to turn complex data into actionable insights that drive demand planning, delivery reliability, and supplier collaboration. You will work with Production, Logistics, Sales, and Finance to support data-informed decisions.

The role emphasizes forecasting accuracy, KPI monitoring, and building automated reports using PowerBI, PowerApps, and Co‑Pilot AI, with a strong emphasis on cross-functional teamwork and

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