Position OverviewInternational 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.
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.
Success in This Role
Within the first year, this individual will:
- Help improve forecasting accuracy through advanced analytics.
- Provide meaningful insights to suppliers that drive performance improvements.
- Identify opportunities to improve delivery reliability for key customers.
- Streamline reporting processes and reduce manual data analysis efforts.
- Become a trusted data partner for Production and Logistics leadership.
Minimum 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
Additional Requirements
- 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)
Desired Skills
- 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
Benefits and Compensation
This position offers competitive market-based compensation, along with a comprehensive benefits package designed to support employee wellbeing. You can learn more about the benefits offered for this position by visiting https://careers.international.com/#benefits.The expected salary offered for this position will fall within the stated range, with the final offer based on the candidates' applicable skills, knowledge, and experience.