Data Scientist

📋 Description

• Analyse large-scale player data with Python and SQL, transforming it into clear, actionable
• Perform feature engineering on large-scale data from the data warehouse, managing your code with
• Prototype and improve machine learning models and prediction pipelines, using experimental design
• Present findings and recommendations to non-technical stakeholders across the game teams.
• Take ownership of features or models end-to-end, framing problems clearly and presenting them to
• Conduct experiments and deliver improvements, with insights adopted across game teams.

🎯 Requirements

• Proficient in Python (pandas, NumPy, scikit-learn, Matplotlib, seaborn) and SQL for large-scale
• Skilled in machine learning workflows, including experimentation, causal inference, and A/B testing.
• Experienced with Git and comfortable working with large-scale data in a data warehouse environment.
• Master's degree in a quantitative field (computer science, applied mathematics, data science, or
• Able to communicate and present to non-technical stakeholders in English, translating analytical

🎁 Benefits

• Permanent contract, full-time employment with comprehensive social benefits.
• 25 vacation days per year plus a birthday day off.
• Private medical health insurance.
• Flexible compensation with Ticket Restaurant Card.
• Free language courses.
• Work-from-home hybrid model.