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Veepee seeks a data scientist in Paris to build and maintain advanced machine learning algorithms. This role involves optimizing price recommendation systems and includes engaging tasks such as demand forecasting and image recognition. The ideal candidate will have 5+ years of data science experience and strong skills in Python and SQL.
Veepee offers a dynamic environment with benefits like a flexible office policy, a variable bonus, and access to e-learning courses. Join a vibrant team dedicated to innovation and collaboration.
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 and beauty, Veepee achieved a turnover of 3.3 billion euros incl. VAT in 2024 and employs 5,000 staff members across 10 countries.
As a data scientist you will join a team of 20 people fully cloud‑native and distributed between Paris, Barcelona and Brussels. Your main mission will be to build, deploy and maintain state‑of‑the‑art machine learning algorithms. A key focus is the improvement of the price recommendation algorithm to optimise margin per visitor, with additional responsibilities in demand forecasting, product recommendation, genAI pipelines and image recognition.
For more information about our ecosystem, visit https://careers.veepee.com/en/home-page-en/.
Vente‑privee.com processes the collected data to handle the recruitment process and to evaluate your ability to carry out the job offered and your professional skills. You can learn more about our use of your data and your rights by reading our recruiting privacy policy. We may use artificial intelligence tools to support parts of the hiring process, such as reviewing applications, analysing resumes or assessing responses and identifying potential inconsistencies or verification signals; these tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans.