TL;DR

Citizen Data Scientist: Maintaining and improving automated machine learning forecasting processes for global supply chain demand planning with an accent on model reliability, scalability, and operational performance. Focus on troubleshooting ML pipelines, investigating forecast deviations, and collaborating cross-functionally to enhance forecasting workflows.

Location: Hybrid at Luxembourg Regional Office

Company

%hirify_global% is a global leader in tire manufacturing and innovation with over 125 years of history and multiple innovation centers worldwide.

What you will do

Monitor and troubleshoot automated ML forecasting pipelines for daily operations.
Investigate forecast deviations and recommend corrective actions.
Maintain documentation for ML models, data flows, and processes.
Collaborate with cross-functional teams to resolve issues and improve workflows.
Identify opportunities to enhance model reliability, scalability, and performance.
Explore datasets and processes to drive continuous improvement.

Requirements

Bachelor’s degree or higher in Data Science, Mathematics, Statistics, Econometrics, or related field.
3+ years of experience in data science, preferably in supply chain or operations.
Practical knowledge of advanced ML methods, especially time-series forecasting.
Strong skills in Python and/or R, SQL, and data wrangling.
Familiarity with cloud environments, particularly AWS.
Ability to communicate insights clearly to non-technical stakeholders; Power BI experience is a plus.