Junior Data Scientist: Downstream Demand Forecast | Remote

Decathlon Digital FR

Paris

Hybride

EUR 38 000 - 52 000

Plein temps

Il y a 4 jours
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Générateur de candidature

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Avantages offerts par ce poste

Two days remote per week
Office in Lille or Paris
Equipment provided
Employee shares/bonuses

Résumé du poste

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

You will work with Data Scientists, Analysts, ML engineers in an agile setup, collaborate with Supply Chain, Engineering and Product teams, and communicate insights through clear visuals. Proficiency in time series forecasting and English required.

Qualifications

  • Proven experience in data science projects and statistical analysis.
  • Knowledge of time series forecasting and stock optimization.
  • Proficient in Python, SQL, Spark and ML frameworks.
  • Professional English communication.

Responsabilités

  • Analyze historical sales data and forecast demand.
  • Develop and productionize AI models for demand forecasting.
  • Collaborate with cross-functional teams to align Data and AI with business goals.
  • Communicate insights through clear visualizations and presentations.

Connaissances

Data science
Python
SQL
Machine learning
Time series forecasting
English
Spark
Databricks
TensorFlow
PyTorch

Outils

Databricks
Spark
TensorFlow
PyTorch
Docker

Description du poste

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

You will work with Data Scientists, Analysts, ML engineers in an agile setup, collaborate with Supply Chain, Engineering and Product teams, and communicate insights through clear visuals. Proficiency in time series forecasting and English required.

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