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기업 공고 원문에서 · Veepee · 2025년 11월 3일 게시
Pioneer of online flash sales since 2001 and key player in European e-commerce, Veepee collaborates with over 7,000 brands to offer highly discounted products available for a limited time. Operating across various sectors, including fashion, home, wine, travel or beauty... Veepee achieved a turnover of 3.3 billion euros incl. VAT in 2024 and employs 5,000 staff members across 10 countries.
📄 JOB DESCRIPTION
As a Data Scientist, you’ll join our Data Science team, distributed across Paris, Lyon, Barcelona, and Brussels. The team focuses on implementing, maintaining, and continuously improving our recommender systems. Today, we deliver personalized sales recommendations to millions of users in real time—and we’re now scaling to include hundreds of thousands of products. You will design and experiment with algorithms that power personalized recommendations across millions of users. Y ou’ll work with large-scale behavioral and product data to build models that increase engagement and conversion, collaborating closely with ML and Data Engineers to move your ideas to production.
🎯 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.
👉 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.
✅ BENEFITS: Be part of a dynamic and international team! Flexible schedule Team buildings & afterworks
⚙️ RECRUITMENT PROCESS : 1️⃣ HR Interview 2️⃣ Technical Interview 3️⃣ Team ITW