Data Scientist, Veepee

Salary not provided

SQL

Python

Tensorflow

NumPy

Pandas

Scikit-Learn

PyTorch

Junior, Mid and Senior level

Paris

International eCommerce company

Open for applications

International eCommerce company

1001+ employees

B2CRetailLifestyleFashionConsumer GoodseCommerceSales

Open for applications

Salary not provided

SQL

Python

Tensorflow

NumPy

Pandas

Scikit-Learn

PyTorch

Junior, Mid and Senior level

Paris

1001+ employees

B2CRetailLifestyleFashionConsumer GoodseCommerceSales

Company mission

To offer the worlds of culture and entertainment the best in digital technology.

Job

Company

Role

Who you are

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

What the job involves

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
You’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
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

Application process

1️⃣ HR Interview
2️⃣ Technical Interview
3️⃣ Team ITW

Our take

eCommerce is booming across the world. Driven by a rise in mobile devices and general changes in consumer trends, global eCommerce sales are expected to total $8 trillion worldwide in 2027. This is a massive time in the history of eCommerce business.

Founded in 2001, Veepee specialised in so-called "flash sales", which usually last between three to five days and are exclusively available to the 50+ million members that VeePee's website boasts. In a nutshell, then, its strategy is based on two pillars of consumer engagement: exclusivity and time-restricted decision-making.

Now, VeePee is focused on two key goals: expanding its international presence and building a foothold in the second-hand & recycled market. With over 20 years of successful operations behind it, as well as a model which continues to be disruptive, Veepee is in a great position to attack the coming eCommerce growth head-on.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

4% employee growth in 12 months

Glassdoor (3.7)

Trustpilot (3.7)

Company

Funding (last 2 of 5 rounds)

May 2013

$29.2m

GROWTH EQUITY VC

Oct 2010

$19m

SERIES E

Total funding: $90.9m

Company HQ

Saint-Denis, France

Leadership

Jacques-Antoine Granjon

(CEO)

Previous co-founder and CEO of Cofotex.

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