Senior Data Scientist - Demand Forecast
On-siteParis, Île-de-France, France
Job Summary
Analyze historical sales data and market trends to forecast demand for Decathlon products. Develop and implement advanced statistical models and machine learning algorithms for demand forecasting and assortment planning, including foundation models. Collaborate with cross-functional teams including Supply Chain Business, Engineering, and Product Development to align Data and AI efforts with business objectives. Evaluate existing forecasting models to enhance accuracy and communicate insights through clear visualizations. This role requires 5+ years of experience in data science or statistical modeling, with proficiency in Python, Spark, and TensorFlow. The position is full-time in Lille, Paris, or Amsterdam, with a competitive salary range of €65k–€90k.
Required Qualifications
- Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related field
- 5 year of experience in data analysis, statistical modeling, or related fields
- Proficiency in Python for data analysis and modeling
Desired Qualifications
- Master's or Ph.D. degree in Data Science, Statistics, Operations Research, or related field
- Minimum 5 years of experience in Data Science
- Experience in demand forecasting, inventory optimization, or supply chain analytics
- Familiarity with Agile methodologies and project management tools
- Previous experience in the retail or e-commerce industry
- Experience in implementing Generative AI to enhance forecasting, alongside optimizing business or organizational processes for product delivery
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