Game Taco

Data Scientist

• You will own the modeling workstreams that sit at the core of how WorldWinner understands and serves its players.
• Initial scope includes: Fair matching algorithm — modeling and improving skill-based player matching to create competitive, satisfying game experiences
• Skill ranking system — developing and refining the rating framework that underpins player progression and matchmaking
• Predictive LTV — building models that forecast player lifetime value to inform acquisition, targeting, and monetization decisions
• As you grow into the role, your scope will expand to include: Churn prediction — identifying at-risk players and surfacing actionable signals for retention intervention
• Mixed marketing model (MMM) — measuring the incremental impact of marketing spend across channels
• Additional modeling projects driven by product and business priorities.