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Salary
≈ $51k – $88k per year (Estimated)
Location
Hybrid (Paris, France)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Nov 3, 2025. Veepee scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Veepee, formerly vente-privee.com, is a French online retailer founded in 2001 by Jacques-Antoine Granjon that created the flash sale model, selling brands' excess inventory through time-limited members-only events. It runs sales in fashion, home, travel and leisure, plus its own logistics and supply chain operations, across France, Spain, Italy, Belgium and other European markets. The company is headquartered in Saint-Denis, France.
Backed by team@irregular

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

  • 1⃣ HR Interview
  • 2⃣ Technical Interview
  • 3⃣ Team ITW
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