WHAT YOU WILL BE WORKING ON​

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 drive game revenue.

What it means on a daily basis​

- You will work on different projects across various game genres, 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.

What success will look like​ 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 take ownership of 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 driving experimentation and improvements independently, with your insights adopted across the game teams.

Who you will be working with

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.

Your recruitment journey​

- First interview:



An initial discussion to explore how the role aligns with your background and to address your main questions.​
- Test: You will be given a case study to complete.​
- Second interview: A technical interview focused on presenting your test and discussing your approach, reasoning, and methodologies in more depth.​
- Final interview: A conversation to discuss your experience, vision, and how you approach data topics at a broader level.​

​Where this role can take you​ This role can be a stepping stone toward a more senior position, with the possibility of taking ownership of increasingly large and complex projects and growing your impact on game performance and business outcomes over time.

WHAT YOU NEED TO SUCCEED​

- Proficient in Python (pandas, NumPy, scikit-learn, matplotlib, seaborn) and strong 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).

WHO YOU ARE​

- Able to communicate and present to non-technical stakeholders in English, translating analytical work into clear, actionable recommendations.

WHAT’S IN IT FOR YOU​

- Permanent contract, full-time job with excellent Social Benefits.
- 25 vacation days per year + Birthday day off.
- Private medical health insurance.
- Versátil compensation with Ticket Restaurant Card.
- Free language courses.
- Work-from-home hybrid model.
- Merit based salary progression system and a competitive initial salary package.

Life at Gameloft Our Barcelona studio offers promising career development opportunities and a positive working environment in a centrally located office. We are committed to providing excellent working conditions and fostering a collaborative team spirit.

Ready to level up your career? Apply now with your CV in English.

📌 Data Scientist (Barcelona)
🏢 Gameloft Barcelona
📍 Barcelona