Data Scientist: Gaming Analytics & ML for Live Titles

Gameloft; Barcelona; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Permanent contract

Social benefits

25 vacation days per year

Birthday day off

Private medical health insurance

Hybrid work model

Flexible compensation (Ticket RESTAURT

Free language courses

Work-from-home hybrid model

Job summary

Gameloft Barcelona is seeking a Data Scientist to join the Global Data team. You will dive into player data, prototype and deploy ML models to increase game revenue, and help move projects from exploration to production across live titles such as life-simulation and racing games.

You will analyze big data with Python and SQL, engineer features from the data warehouse, and manage code with Git. You will present insights to cross-functional stakeholders and collaborate with data and game teams

Qualifications

• Proficient in Python (pandas, NumPy, scikit-learn) and 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 (CS, math, data science, or related).

Responsibilities

• 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.

Skills

Python

SQL

ML workflows

Git

Education

Master's degree in a quantitative field

Tools

Git

Job description

Gameloft Barcelona is seeking a Data Scientist to join the Global Data team. You will dive into player data, prototype and deploy ML models to increase game revenue, and help move projects from exploration to production across live titles such as life-simulation and racing games.

You will analyze big data with Python and SQL, engineer features from the data warehouse, and manage code with Git. You will present insights to cross-functional stakeholders and collaborate with data and game teams