Data Scientist

Gameloft Barcelona is seeking a Data Scientist to join Gameloft Global Data team. As a Data Scientist, you will be able to deep dive into our massive streams of player data in-game, prototype and deploy machine learning models to increase game revenue. You will help move projects from exploratory analysis to deployed models across live titles, including life-simulation and racing games.

Analyse large-scale player data with Python and SQL, transforming it into clear, actionable insights.

Perform feature engineering on large-scale data from the data warehouse, managing your code with Git.

Prototype and improve machine learning models and prediction pipelines, using experimental design, causal inference, and A/B testing to raise performance baselines.

Present findings and recommendations to non-technical stakeholders across the game teams.

In your first months, you will ramp up on our data infrastructure and deliver your first exploratory analyses.By the middle of your onboarding, you will be responsible for features or models end-to-end, framing problems clearly and presenting them to non-technical stakeholders. By the end of your onboarding, you will be conducting experiments and delivering improvements on your own, with your insights adopted across the game teams.

As a Data Scientist in our Global Data Science and Analytics team, you will be reporting to our Lead Data Scientist and collaborate very closely with other Data teams (Data Analyst, Data Engineering) and with our local Game teams. Our teams operate across multiple studios worldwide, including Paris, Barcelona, Montreal, Sofia, Bucharest, and others, offering opportunities to collaborate with colleagues from diverse backgrounds and perspectives.