Data Scientist

Gameloft

Barcelona, Spain

WHAT YOU WILL BE WORKING ON

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.

What it means on a daily basis

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.

WHAT YOU NEED TO SUCCEED

Proficient in Python (pandas, NumPy, scikit-learn, Matplotlib, seaborn) and in SQL for large-scale data analysis.
Skilled in machine learning workflows, including experimental design, 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 related).