Description
Founded in 1999, WorldWinner develops and operates competitive games of skill with real cash prizes under the WorldWinner consumer brand and in partnership with leading Sports Gaming Entertainment company FanDuel under the FanDuel Faceoff name. WorldWinner is the most recognized and trusted skill games technology platform and brand for players who want to Play to Win. We bring games to the world that inspire people to play for more. With over 20 challenging games where the outcome is dependent on player skills versus chance across a content library spanning classic card games to casual favorites to retro arcade games, WorldWinner has something for every gamer. Backed by Platinum Equity and strategic investors, we are building the next phase of our platform on mobile and beyond. We are seeking a Data Scientist to join our analytics organization and serve as the technical modeling engine behind our player experience, monetization, and growth strategies. This is a hands-on individual contributor role embedded in a tight-knit analytics team, working directly with the Director of Business Performance on problem framing, prioritization, and execution. What You'll Work On 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 How You'll Work This role is not a silo. You will work closely with the Director of Business Performance throughout the lifecycle of every project — from framing the business question and scoping the approach, to communicating progress, surfacing blockers early, and presenting findings to stakeholders. We move fast, operate with high trust, and expect regular two-way communication on what you're building and why. You will be expected to represent the analytics function in cross-functional meetings — with product, marketing, and engineering — without needing translation. That means explaining model logic to non-technical audiences, translating business questions into analytical approaches, and advocating for data-driven decisions in rooms where not everyone speaks statistics. What We're Looking For Required - 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, a