Data Scientist
Data Scientist role focused on building predictive models and analytics for skill‑based gaming, leveraging Python, SQL, machine learning, statistical modeling, A/B testing, and data visualization to drive product and business decisions.
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:
As you grow into the role, your scope will expand to include:
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 Lo
Posted June 26, 2026