Data Scientist
Team: Data
Location: Paris
Commitment: Permanent
Workplace Type: hybrid
šÆ Responsibilities:
- Design, train, and evaluate recommender system models using state-of-the-art ML techniques.
- Conduct in-depth data exploration and feature engineering to extract actionable insights.
- Perform offline experiments and A/B tests to validate model impact on key business metrics.
- Collaborate with ML Engineers to ensure smooth model deployment and monitoring.
- Present findings and new approaches during Data Science Demos.
š Requirements:
- Proficiency in Python (Pandas, NumPy, Scikit-Learn, etc.)Proficiency in SQL.
- Foundational knowledge of Machine Learning.
- Experience working with Machine Learning libraries (XGBoost, LightGBM, TensorFlow, PyTorch).
- Solid understanding of statistics, evaluation metrics, and experimentation design.
- Prior experience with recommender systems or e-commerce is a strong plus.
- Strong verbal and written English communication.
ā BENEFITS
- BeĀ partĀ ofĀ aĀ dynamicĀ andĀ internationalĀ team!
- FlexibleĀ schedule
- TeamĀ buildingsĀ &Ā afterworks
āļø RECRUITMENT PROCESS
- 1ļøā£ HR Interview
- 2ļøā£ Technical Interview
- 3ļøā£ Team ITW
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