You will own the modeling workstreams that sit at the core of how WorldWinner understands and serves its players.
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.
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.

4+ years of experience in applied data science, with a track record of shipping models that drove measurable business outcomes.
Experience owning models end-to-end; from problem framing and development through deployment, monitoring, and ongoing iteration in production.
Strong proficiency in Python for modeling, statistical analysis, and data manipulation.
Advanced SQL skills and comfort working directly with large-scale data warehouses (Redshift experience a plus).
Experience building and validating predictive models — LTV, churn, propensity, recommendation, or ranking systems.
Demonstrated ability to communicate technical work clearly to non-technical stakeholders — in writing, in meetings, and in executive presentations.
Comfort working in a collaborative, fast-moving environment with regular check-ins and shared prioritization.
Gaming industry experience — mobile gaming, real-money gaming, skill gaming, social casino, or live-service products.

Exciting, creative, and fun industry where you can make a measurable impact.
Collaborative and inclusive work environment.
Comprehensive subsidized medical, dental, and vision coverage with paid parental leave options.
5% company 401(k) match with immediate vesting.
Generous time off and flexible hours to support work-life balance.

Data Scientist

Key skills