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Veepee

Members-only flash sales of branded goods

Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeParis, FranceNo salary listed

About the Job

Requirements

  • Proficiency in Python, including Pandas, NumPy, and Scikit-Learn.
  • Proficiency in SQL.
  • Foundational knowledge of machine learning.
  • Experience working with machine learning libraries, including XGBoost, LightGBM, TensorFlow, and PyTorch.
  • A solid understanding of statistics, evaluation metrics, and experimentation design.
  • Strong verbal and written English communication.

Responsibilities

  • Design, train, and evaluate recommender system models using state-of-the-art machine learning 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 machine learning engineers to ensure smooth model deployment and monitoring.
  • Present findings and new approaches during Data Science Demos.

Desired Qualifications

  • Prior experience with recommender systems or e-commerce is a strong plus.

About the Company

Veepee

Members-only flash sales of branded goods

Veepee runs a members-only online platform for flash sales of branded products, including fashion, accessories, home goods, and travel. Members sign up to access limited-time offers, with inventory sourced by partnering with brands to sell overstock or past-season items. The platform earns a commission on sales and has expanded into travel deals and a second-hand marketplace called Re-turn. Unlike many retailers, Veepee relies on exclusive, time-limited sales to create urgency and partners with brands to provide a channel for clearing excess stock without diluting brand image. The goal is to connect brands with value-seeking consumers through targeted, time-bound events while growing the member base and expanding category coverage.

Company size
1,001-5,000
Company stage
Debt Financing
Total funding
$88M
Headquarters
Saint-Denis, France
Founded
2001

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