Data Scientist
Barcelona
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: hybrid
From the employer’s posting- Employment
Permanent — employment source
Employment type Permanent
Employment type in the employer’s posting: Permanent
From the employer’s posting
What you’ll work on
Full postingDesign, train and evaluate recommender system models
Explore data and engineer features to find actionable insights
Run offline experiments and A/B tests on key business metrics
Work with ML Engineers on model deployment and monitoring
Present findings and new approaches in Data Science Demos
From the employer’s posting
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.
What you’ll bring
All qualificationsCore experience
- Proficiency in Python (Pandas, NumPy, Scikit-Learn)
- Proficiency in SQL
- Foundational knowledge of Machine Learning
- Experience with ML libraries such as XGBoost, LightGBM, TensorFlow or PyTorch
- Solid understanding of statistics, evaluation metrics and experimentation design
Qualification wording
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.
Tools in this posting
- Python
- SQL
- LightGBM
- NumPy
- pandas
- PyTorch
- scikit-learn
- TensorFlow
- XGBoost
Source — Tool mentions in context
👉 Requirements: - Proficiency in Python (Pandas, NumPy, Scikit-Learn, etc.)Proficiency in SQL. - Foundational knowledge of Machine Learning.
- Foundational knowledge of Machine Learning. - Experience working with Machine Learning libraries (XGBoost, LightGBM, TensorFlow, PyTorch). - Solid understanding of statistics, evaluation metrics, and experimentation design.
Posting record
Report an errorOpen 6 monthsWe first saw this posting 198 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Apr 15, 2026 · 198 days ago
- Recorded sightings
- 216
- Last seen by us
- Oct 29, 2026
- Employer says posted
- Nov 3, 2025
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on jobs.lever.co. The employer’s form will show what is required.
Already applied? Track this application
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. 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
- 1️⃣ HR Interview
- 2️⃣ Technical Interview
- 3️⃣ Team ITW
All our positions are open to people with health conditions or impairments.
We are convinced that it is up to you to define the way you work, to develop yourself and to progress. At Veepee we guarantee that you can just be yourself! For the service of diversity and inclusion, Veepee is committed to reviewing all applications received on an equal basis.
🔗 COMPANY
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/
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.
Employment type
Permanent
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Barcelona
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.