Data Scientist

Gameloft; Paris; Sur place; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Gameloft in Paris (HQ) is seeking a Data Scientist to turn massive streams of player data into insights and machine learning models that shape how millions of players experience our games worldwide.

You will work on diverse projects across game genres, perform feature engineering, prototype models, and contribute to tracking, prediction pipelines, and robust experimental design. Collaborate with data scientists, data analysts and data engineers.

Qualifications

• Experience analyzing large datasets, ideally in gaming or consumer analytics.
• Strong statistical background and ability to design and interpret experiments.

Responsabilités

• Analyze large-scale player data and translate it into actionable insights.
• Engineer features from data warehouse and prototype machine learning models.
• Contribute to internal tracking, prediction pipelines and monitoring systems.
• Improve experimental capabilities using causal inference and A/B testing.
• Present results and recommendations to non-technical stakeholders.

Description du poste

If you’re looking for an exciting challenge opportunity and want to work with a group of bold and talented people, don’t hesitate and join us in Paris (HQ)!

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.