At Million Victories, we aim to bring the powerful emotions of Massively Multiplayer Online (MMO) games to millions of players : the thrill of epic battles, the pride of shared progress, the strength of a united community !

To achieve this, we are redefining the genre : we create unique, innovative, and accessible MMO games for mobile.

Since the launch of our first game, Million Lords, a real-time strategy MMO, we've seen steady and solid growth. Backed by the successful completion of a nearly $40 million funding round, including both primary and secondary investments, and supported by a team of 35 professionals, we are accelerating our growth to take our game to the next level.
- Our values : ambition, originality, respect.
- Our culture : we believe it's possible to pursue excellence within a culture of kindness.

At Million Victories, performance grows from trust, autonomy, and the richness of diverse backgrounds and perspectives.

Working at Million Victories means :
- Having your initiatives recognized and valued
- Enjoying real autonomy in how you organize your work
- Joining a welcoming, supportive, and committed team

Curious to see more ? Take a peek behind the scenes on our Instagram !

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.

Contract : Full-time, based in Lyon, Paris, or remotely
Start date : As soon as possible
Median Salary : €50,000 per year

$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 !
  

$Recruitment Process

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 with Charles our CMO
  

CV, lettre de motivation, références

A l'attention de : Responsable du recrutement