🛠 Tech Stack

💼 About This Role

You'll join a cloud-native Data Science Team of 20 to build and deploy state-of-the-art machine learning algorithms. Your core impact will be improving the price recommendation algorithm, a strategic initiative to optimize margin per visitor. You'll also contribute to demand forecasting, product recommendation, and genAI pipelines.

🎯 What You'll Do

• Build and improve the data science stack.
• Train machine learning models at scale in a cloud environment.
• A/B test ML models on the website and analyze results.
• Write production-ready code and communicate with stakeholders.

📋 Requirements

• At least 5 years of experience in data science.
• Strong knowledge of Python and SQL.
• Experience with feature engineering, model training, evaluation, deployment, and serving.
• Proficiency with Git.

✨ Nice to Have

• Experience with DBT is a plus.
• Experience with demand forecasting or pricing is a plus.
• Experience with Kubernetes, Airflow, MLFlow.

🎁 Benefits & Perks

• 🏖️ Hybrid work (Paris, Barcelona, Brussels).
• 💻 Cloud-native environment.
• 📚 Continuous learning (conferences, meetups, internal learnshops).
• 🌍 International team across 10 countries.
• 🏢 Permanent contract.