Data Scientist

<div><span style="font-size: 15px">Pioneer of online flash sales since 2001 and key player in European e-commerce, <b>Veepee</b> 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.</span></div><div><br></div><div><br></div><div><span style="font-size: 16px;">📄</span><strong style="font-size: 16px;"> JOB DESCRIPTION</strong></div> <div>&nbsp;</div> <div><span style="font-size: 16px;">As a Data Scientist, you’ll join our Data Science team, distributed across Paris, Lyon, Barcelona, and Brussels. </span></div> <div><span style="font-size: 16px;">The team focuses on implementing, maintaining, and continuously improving our recommender systems. </span></div> <div><span style="font-size: 16px;">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.</span></div> <div><span style="font-size: 16px;">You will design and experiment with algorithms that power personalized recommendations across millions of users. Y</span></div> <div><span style="font-size: 16px;">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.</span></div><br><strong>🎯 Responsibilities:</strong><br> <li>Design, train, and evaluate recommender system models using state-of-the-art ML techniques.</li> <li>Conduct in-depth data exploration and feature engineering to extract actionable insights.</li> <li>Perform offline experiments and A/B tests to validate model impact on key business metrics.</li> <li>Collaborate with ML Engineers to ensure smooth model deployment and monitoring.</li> <li>Present findings and new approaches during Data Science Demos.</li> <br><strong>👉 Requirements:</strong><br> <li>Proficiency in Python (Pandas, NumPy, Scikit-Learn, etc.)Proficiency in SQL.</li> <li>Foundational knowledge of Machine Learning.</li> <li>Experience working with Machine Learning libraries (XGBoost, LightGBM, TensorFlow, PyTorch).</li> <li>Solid understanding of statistics, evaluation metrics, and experimentation design.</li> <li>Prior experience with recommender systems or e-commerce is a strong plus.</li> <li>Strong verbal and written English communication.</li> <br><strong>✅ BENEFITS</strong><br> <li>Be&nbsp;part&nbsp;of&nbsp;a&nbsp;dynamic&nbsp;and&nbsp;international&nbsp;team!</li> <li>Flexible&nbsp;schedule</li> <li>Team&nbsp;buildings&nbsp;&amp;&nbsp;afterworks</li> <br><strong>⚙️ RECRUITMENT PROCESS </strong><br> <li>1️⃣ HR Interview</li> <li>2️⃣ Technical Interview</li> <li>3️⃣ Team ITW</li> <div><span style="font-size: 16px;">All&nbsp;our&nbsp;positions&nbsp;are&nbsp;open&nbsp;to&nbsp;people&nbsp;with&nbsp;health&nbsp;conditions&nbsp;or&nbsp;impairments.</span></div> <div>&nbsp;</div> <div><span style="font-size: 16px;">We&nbsp;are&nbsp;convinced&nbsp;that&nbsp;it&nbsp;is&nbsp;