Senior Data Scientist

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. 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 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 Big Query, 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.
• Strong proficiency in
  SQL
  and experience with
  Big Query
  ,
  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.

• Hybrid work:3 days remote per week
• Flexible working hours with the option of a4.5-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:

• Initial phone call
  with
  
  Mélissa , our HR Manager, to understand your background and walk you through the process
• Interview
  with William our Lead Data Analyst, to align on expectations and vision
• Case study
  to assess your problem-solving and strategic thinking
• Discussion
  with
  
  Omar , a Data Analyst of the Business Intelligence team

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