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Job Overview
Location
LU LUX Regional Office
Job Type
Full-time
Category
Data Scientist
Date Posted
December 14, 2025
Full Job Description
đź“‹ Description
- • Own the heartbeat of Goodyear’s global demand-planning engine. You will be the guardian of an automated machine-learning forecasting pipeline that feeds daily decisions across 51 manufacturing plants and 19 countries, ensuring every tire reaches the right market at the right time.
- • Monitor, triage, and resolve anomalies in real time. When forecasts drift, you dive deep—querying AWS-hosted data lakes, interrogating Python-based models, and tracing issues back to source ERP systems—to restore accuracy within hours, not days.
- • Build bullet-proof documentation that becomes the single source of truth for data lineage, feature engineering logic, model versioning, and run-time orchestration. Your runbooks and dashboards will be used by planners, data engineers, and executives alike.
- • Partner with Demand Planning, Supply Chain IT, and regional finance teams to translate forecast errors into actionable stories. You will lead root-cause workshops, present findings in Power BI, and co-design fixes that cut forecast bias and safety stock costs.
- • Continuously enhance model reliability and scalability. You will prototype new time-series algorithms, implement automated validation tests, and push improvements through CI/CD pipelines so that every release is safer and faster than the last.
- • Explore untapped internal and external datasets—weather, macro-economic indicators, promotional calendars—to uncover signals that sharpen predictive power and give Goodyear a competitive edge in volatile markets.
- • Champion a culture of data excellence. By mentoring planners in basic Python and SQL, you will upskill the organization and reduce dependency on central data science resources.
- • Deliver measurable impact: every 1 % improvement in forecast accuracy translates to millions in working-capital reduction and higher customer fill-rates. Your work will be visible on executive KPI dashboards and celebrated in quarterly business reviews.
🎯 Requirements
- • Bachelor’s or higher in Data Science, Mathematics, Statistics, Econometrics, or related field
- • 3+ years hands-on experience in data science, preferably in supply-chain or operations analytics
- • Advanced proficiency in Python (pandas, scikit-learn, Prophet, or similar) and SQL; working knowledge of R is a plus
- • Proven track record with time-series forecasting techniques and model validation in production environments
- • Familiarity with cloud platforms—specifically AWS (S3, Lambda, SageMaker, or equivalent)—and version control (Git)
🏖️ Benefits
- • 10-month fixed-term contract with possibility of extension or transition to permanent role within a Fortune 500 leader
- • Daily exposure to cutting-edge ML pipelines and massive real-world datasets that shape global mobility
- • Hybrid work model based at Goodyear’s vibrant Luxembourg Regional Office, with flexibility and modern collaboration spaces
- • Access to global career pathways, internal mobility programs, and continuous learning platforms (Udemy, Coursera, Goodyear University)
Skills & Technologies
About The Goodyear Tire & Rubber Company
Global tire and rubber manufacturer founded in 1898, headquartered in Akron, Ohio. Produces tires for passenger cars, commercial trucks, aircraft, agricultural equipment, and race cars. Offers related automotive maintenance and repair services through retail and commercial outlets worldwide.
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