Data Scientist

Veepee AD; Paris; On-site; EUR 45,000 - 70,000; Full time

Benefits offered by this job

Dynamic international team

Flexible schedule

Team buildings & afterworks

Job summary

A leading European e-commerce platform is seeking a Data Scientist to join their Data Science team in Paris. The role involves designing algorithms for personalized recommendations, analyzing large-scale behavioral data, and collaborating with engineers to enhance model performance. Candidates should be proficient in Python and SQL, with a foundational knowledge of Machine Learning. This position offers a dynamic work environment with flexible schedules and team-building activities.

Qualifications

• Proficiency in Python (Pandas, NumPy, Scikit-Learn, etc.) and SQL.
• Foundational knowledge of Machine Learning.
• Prior experience with recommender systems or e-commerce is a strong plus.

Responsibilities

• Design, train, and evaluate recommender system models using state-of-the-art ML techniques.
• Conduct in-depth data exploration and feature engineering.
• Perform offline experiments and A/B tests to validate model impact.

Skills

Python

SQL

Machine Learning libraries (XGBoost, LightGBM, TensorFlow, PyTorch)

Statistics

English communication

Job description

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 or beauty... Veepee achieved a turnover of 3.3 billion euros incl. VAT in 2024 and employs 5,000 staff members across 10 countries.

📄 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.

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.

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.) and 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

• Bepartofadynamicandinternationalteam!
• Flexibleschedule
• Teambuildings&afterworks

Recruitment Process

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

Allourpositionsareopentopeoplewithhealthconditionsorimpairments.

Weareconvincedthatitisuptoyoutodefinethewayyouwork,todevelopyourselfandtoprogress.AtVeepeeweguaranteethatyoucanjustbeyourself!Fortheserviceofdiversityandinclusion,Veepeeiscommittedtoreviewingallapplicationsreceivedonanequalbasis.

For more information about our ecosystem: https://careers.veepee.com/en/home-page-en/

❓ WHO WE ARE

Veepeeᵀᵉᶜʰ is a tech community of 500 collaborators who play a key role in Veepee’s innovative strategy.

From Warsaw to Sevilla, through Brussels, Amsterdam, Paris, Lyon, Nantes, Nice, Barcelona, Madrid and Lausanne all our projects are developed in an agile environment with a wide skills variety where you’ll be sure to find your place, no matter the technology you work with.

If you love to try things why don’t you jump on this new adventure?

Need more info > https://careers.veepee.com/en/

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