Data Scientist
Paris
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
Permanent — employment source
Employment type Permanent
Read the full posting
What you’ll work on
Full postingYou will design and experiment with algorithms that power personalized recommendations across millions of users.
From the employer’s posting
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.
Tools in this posting
- Python
- Lightgbm
- NumPy
- pandas
- TensorFlow
- Xgboost
- SQL
- scikit-learn
- PyTorch
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.
Job description
🎯 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
Employment type
Permanent
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
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Source & posting history
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
Paris
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Apr 15, 2026
- Recorded sightings
- 186
- Last seen by us
- Oct 7, 2026
- Employer says posted
- Nov 3, 2025
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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