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Data Scientist

Hybrid in Barcelona·Full-time·Added 1 month ago (last checked 20 Oct)

Gameloft

10 open roles

Our summary

Work mode
Hybrid, Barcelona
Contract
Full-time
English
Required
Education
Master's degree
Benefits
Private health insurance, flexible pay plan, meal vouchers

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Skills

Requirements

What we're looking for

  • 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.

Education & certifications

  • Master's degree in a quantitative field (computer science, applied mathematics, data science, or related).

Languages

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

Pay & benefits

What you'll get

  • Permanent contract, full-time employment with comprehensive Social Benefits.
  • 25 vacation days per year + Birthday day off.
  • Private medical health insurance.
  • Flexible 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 real career development opportunities and a positive working environment in a centrally located office. We value supportive working conditions and a balanced work-life approach, and our teams work together with a collaborative mindset.

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

The role

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.
 

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.

This role can be a stepping stone toward a more senior position, with the possibility of leading increasingly large and complex projects, so that your work shapes game performance and business results more widely over time.

What you'll do

  • 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.

Hiring process

3 steps2 interviewsa task to do
  1. HR call

    With HR

    If your profile fits, HR schedules a short call to get to know you.

  2. Test

    Not every role

    Depending on experience and role, you may be asked to complete a test.

  3. Interviews with the hiring manager and team

    With hiring manager and future team

    One or more interviews with the hiring manager and future team, then hopefully an offer.

Hiring process

  • 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.​

About Gameloft

Gameloft is a leading global developer and publisher of video games, known for its diverse portfolio of titles across mobile, console, and PC platforms. The company operates in the gaming industry, creating immersive experiences across genres such as racing, action, and strategy. With a global presence, Gameloft has established itself as a significant player in the interactive entertainment sector, employing thousands of professionals worldwide.

In Spain, Gameloft has a significant presence, with offices in Madrid and Barcelona, contributing to the local tech and creative scene. The company's work culture is dynamic and project-based, often appealing to international talent. For international professionals, Gameloft offers a multicultural environment where English is commonly used, and the gaming industry's global nature makes it a welcoming place for relocating professionals.

Industry
Gaming
Founded
1999
Employees
5,000–10,000
Headquarters
Paris, France
In Spain
Barcelona, Madrid

Good to know if you are moving

  • Gameloft's global operations mean that international experience is highly valued, and the company's official language for internal communication is often English.
  • The company has a strong focus on mobile gaming, a sector that is growing rapidly, offering international professionals a chance to work on globally recognized franchises.
  • Spain is a key market for Gameloft, with offices in Barcelona and Madrid, providing opportunities for international hires to work in a creative and dynamic environment.
  • The company offers a competitive benefits package, including private health insurance and flexible working hours, which can be attractive for international professionals.
  • Gameloft's acquisition by Vivendi has brought financial stability and a broader global reach, making it a stable employer for international talent.

In their own words

About the company & team

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.
 

All open roles at Gameloft

Location

Gameloft · Barcelona

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