Data Scientist - Machine Learning Models

About the role

Gameloft Barcelona is looking for a Data Scientist to join its Global Data team. You will analyse large volumes of in-game player data and build machine learning models that increase game revenue, moving projects from exploratory analysis to deployed models across live titles such as life-simulation and racing games.

Key responsibilities

• Analyse large-scale player data with Python and SQL and turn it into clear, actionable insights.
• Perform feature engineering on data warehouse data, managing your code with Git.
• Prototype and improve machine learning models and prediction pipelines, using experimental design, causal inference and A/B testing.
• Present findings and recommendations to non-technical stakeholders across the game teams.

Required profile

• Master's degree in a quantitative field (computer science, applied mathematics, data science or related).
• Able to communicate and present to non-technical stakeholders in English.
• Experience with Git and large-scale data in a data warehouse environment.

Required skills

• Python (pandas, NumPy, scikit-learn, Matplotlib, seaborn) and SQL for large-scale data analysis.
• Machine learning workflows, including experimental design, causal inference and A/B testing.

What we offer

• Permanent full-time contract with social benefits.
• 25 vacation days per year plus a birthday day off.
• Private medical health insurance.
• Flexible compensation with a Ticket Restaurant card.
• Free language courses and a work-from-home hybrid model.
• Merit-based salary progression and a competitive initial package.