Junior Data Scientist: Demand Forecasting in Supply Chain

decathlontechnology; Paris; Hybride; EUR 38 000 - 52 000; Plein temps

Avantages offerts par ce poste

Remote work 2 days/week

Office Lille or Paris

Equipment provided

Employee stock plan

Bonuses

Résumé du poste

Decathlon Digital in Paris/Lille is seeking a Junior Data Scientist to join the Downstream Demand Forecast team. You will analyze data, build AI models for production, and provide insights to optimize stock management across the supply chain.

The role emphasizes time series forecasting, collaboration with cross-functional teams, and hands-on work with Python, Spark, and ML tools in an agile environment. Remote two days per week and options for Lille or Paris offices.

Qualifications

• Experience in Data Science projects with statistical analysis and forecasting.
• Understanding of supply chain concepts, stock optimization, and demand forecasting.
• Programming experience in Python, SQL, Spark; familiarity with ML frameworks.

Responsabilités

• Analyze historical sales data to forecast demand for Decathlon products.
• Compare factors (price, offerings, external data) to forecast demand.
• Develop statistical models and ML algorithms for demand forecasting and replenishment.
• Collaborate with Supply Chain, Engineering, and Product teams to align Data efforts with business goals.
• Evaluate and improve forecasting models for accuracy and efficiency.
• Communicate insights via clear visualizations and presentations.
• Stay updated on data science and supply chain trends.

Connaissances

Time series forecasting

Python

SQL

Analytics

Data visualization

Collaboration

English proficiency

Outils

Databricks

AWS

GCP

Python

Spark

Scikit-Learn

TensorFlow

PyTorch

MLFlow

Airflow

Git

Confluence

Tableau

Description du poste

Decathlon Digital in Paris/Lille is seeking a Junior Data Scientist to join the Downstream Demand Forecast team. You will analyze data, build AI models for production, and provide insights to optimize stock management across the supply chain.

The role emphasizes time series forecasting, collaboration with cross-functional teams, and hands-on work with Python, Spark, and ML tools in an agile environment. Remote two days per week and options for Lille or Paris offices.