WHAT YOU WILL BE WORKING ON

Main challenge

As a Data Scientist, you’ll dive into massive streams of player data from globally played games, turning behaviors into insights and machine learning models that directly shape how millions of players experience our games and how our titles perform worldwide.

What it means on a daily basis

You will work on different projects across various game genres, including life simulation and racing games.

Analyze large-scale player data in a fast-paced gaming environment and transform it into clear, actionable insights
Perform advanced feature engineering using large-scale data from our data warehouse
Prototype machine learning models to improve existing performance baselines
Contribute to the development of internal tracking, prediction pipelines, and monitoring systems
Improve experimental capabilities through robust experimental design and statistical methods, including causal inference and A/B testing

What success will look like

You are able to take ownership of a project end-to-end, from clearly framing and presenting the problem to non-technical stakeholders to delivering actionable insights and recommendations independently.

Who you would 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 scientists, data analysts and data engineers in the team.

Your recruitment journey

First interview (TA): 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 (Hiring Manager): A technical interview focused on presenting your test and discussing your approach, reasoning, and methodologies in more depth.
Final interview (VP Data): A conversation to discuss your experience, vision, and how you approach data topics at a broader level.

Where this role can take you

Grow into a more senior position while taking ownership of increasingly large and complex projects with greater impact on game performance and business outcomes.

WHAT YOU NEED TO SUCCEED

A first full-time professional experience (CDD/CDI) in tech, gaming, or a similar industry is preferred, as the role requires autonomy and the ability to manage day-to-day responsibilities independently
Proficiency in Python (especially pandas, numpy, scikit-learn, matplotlib, seaborn, etc.)
Strong SQL skills
Experience with Git and machine learning workflows, including experimental design and key statistical methods
Ability to work with large-scale data

WHO YOU ARE

Product- and business-oriented, with the ability to connect data work to real game impact
Comfortable working and presenting with non-technical stakeholders, with strong ability to simplify and communicate complex topics at a high level
Able to translate analytical insights into clear, actionable recommendations

WHAT’S IN IT FOR YOU

Benefits

Hybrid work model : 2 days of remote work per week
Wellpass(ex-Gymlib)
Group saving plan

Legal requirements included : health coverage, lunch vouchers, Navigo reimbursement 50%

Life at Gameloft

We believe great work happens in a great environment. That’s why we offer flexible working hours, unlimited coffee and tea, fresh fruits, and monthly breakfasts to keep the energy high.
Our offices feature dedicated video and board game areas, plus babyfoot, ping-pong, and weekly futsal sessions, not to mention unforgettable summer and winter parties and regular game or events to celebrate our shared passion !

How to proceed

Do you want to join the game ? Apply now !