Senior Data Scientist

Project overview

Context

Position: Senior Data Scientist

Project details

Lille (hybrid)

Long-term mission

Integration within the Sport Product domain, in the Offering team, composed of about 18 people and working across 12 sports universes. The team supports business units in exploiting data to improve the monitoring, efficiency, and performance of the offering. The main objective is to strengthen work around building the best assortments and placing products in the right place at the right time.

Missions

Tools & Environment

Working Conditions

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• Collaborate with Product Managers, Machine Learning Engineers, and Data Scientists to identify business impact opportunities.
• Exploit data to quantify results and contribute to defining the team's Machine Learning strategy and roadmap.
• Design and develop advanced statistical models, Machine Learning models, and agent-based systems from end to end.
• Define relevant evaluation and monitoring metrics, then ensure the quality and performance of models using rigorous validation methods.
• Work with Machine Learning Engineers to facilitate model industrialization and their deployment in scalable solutions.
• Present analyses, visualize results, and formulate clear and concise recommendations to stakeholders.
• Languages and frameworks: Python, SQL, Spark, PySpark
• Platforms and tools: Databricks, MLflow, AWS, GCP
• Machine Learning libraries: Scikit-learn, TensorFlow, PyTorch
• Other tools: Streamlit, Docker, Kubernetes, Airflow, GitHub Actions
• Contract: long-term mission
• Location: Lille, hybrid mode
• Start: flexible
• Remote: hybrid
• Location: Lille, France, FR
• Rate: 60-60 EUR/h
• Languages: French