As a Senior Data Scientist, you’ll be at the core of our data-driven decision-making process. You’ll use machine learning to forecast player behavior, especially lifetime value, and build tools and dashboards that bring our game and user acquisition data to life. You’ll work closely with game designers and marketing managers, helping them make smarter decisions grounded in data.

You will:

• Develop and maintain machine learning models for predicting LTV, churn, and player segmentation

• Collaborate with the user acquisition team to optimize acquisition spend and improve ROAS predictions using model insights

• Partner with game designers to analyze gameplay data, identify opportunities for improvement, and support A/B testing and feature iteration

• Create intuitive, actionable dashboards and reports, using Looker Studio or similar, to surface key insights across the company

• Design and interpret experiments to validate hypotheses and measure feature impact

• Help define and improve the data modeling layer, using dbt and BigQuery, to support analytics and ML use cases.

You have:

• 4+ years of experience in data science, with a strong foundation in machine learning and statistical modeling

• Experience with LTV prediction, retention modeling, or similar applications in gaming, apps, or e-commerce

• Strong proficiency in SQL and experience with BigQuery, dbt, or other modern data stack tools

• Solid Python skills for building and deploying ML models

• Comfort working with visualization tools like Looker Studio, Tableau, or similar

• A deep understanding of data from mobile games, apps, or B2C consumer products

• Experience collaborating cross-functionally with non-technical stakeholders

• Fluent in English, knowledge of French is a plus

If you’re excited by the idea of working cross-functionally and translating between business needs and technical solutions, you’re in the right place.

Perks

Special perks:

• Hybrid work: 3 days remote per week

• Flexible working hours with the option of a 4.5-day week

• Opportunity to become a shareholder of the company

And of course:

• Lunch card: €8/day, 50% covered by the company

• Access to sports equipment in the office

• Training & conferences supported to help you grow

• Quarterly/Monthly team lunches and a Christmas gift card

• …and more!

We care about making this first exchange a meaningful one:

1. Initial phone call with Mélissa, our HR Manager, to understand your background and walk you through the process

2. Interview with William our Lead Data Analyst, to align on expectations and vision

3. Case study to assess your problem-solving and strategic thinking

4. Discussion with Omar, a Data Analyst of the Business Intelligence team

5. Final interview withCharles our CMO

Additional Information

Contract: Full-time, based in Lyon, Paris, or remotely

Start date: As soon as possible

Median Salary: €50,000 per year