Overview

In this role you will analyze massive player data to derive actionable insights and build ML models that improve game revenue. You’ll move projects from exploration to deployed models across live titles, collaborating with cross-functional teams to shape game performance. You will prototype models, conduct experiments and present results to non-technical stakeholders, contributing to scalable data-driven decisions. This is a hands-on position at the intersection of data science and game development, with impact across multiple studios.

Compensaciones / Beneficios

- Permanent contract, full-time employment with comprehensive Social Benefits
- 25 vacation days per year + Birthday day off
- Private medical health insurance
- Adaptable compensation with Ticket Restaurant Card
- Free language courses
- Work-from-home hybrid model

Responsabilidades

- Analyze large-scale player data using Python and SQL to generate actionable insights
- Perform feature engineering on warehouse data and manage code with Git
- Prototype and improve ML models and prediction pipelines
- Design and execute experiments, causal inference studies,



and A/B tests to raise performance baselines
- Present findings and recommendations to non-technical stakeholders across game teams
- Deliver features or models end-to-end within live game titles
- Ramp up on data infrastructure and establish analyses in the onboarding phase
- Collaborate with Data Analysts, Data Engineers and game teams across multiple studios

Requisitos principales

- Experience in game development or the mobile industry
- Master's degree in a quantitative field
- Proficient in Python (pandas, NumPy, scikit-learn, Matplotlib, seaborn) and SQL
- Skilled in ML workflows including experimental design, causal inference, and A/B testing
- Experience with Git and large-scale data in a data warehouse environment
- Able to communicate to non-technical stakeholders in English

- communication
- presenting to non-technical stakeholders
- cross-functional collaboration
- Python (pandas, NumPy, scikit-learn, Matplotlib, seaborn)
- SQL for large-scale data analysis
- Machine learning workflows

📌 Data Scientist - Gameloft (Barcelona)
🏢 Gameloft
📍 Barcelona