Data Scientist

WorldWinner

98d

About The Position

WorldWinner is seeking a Data Scientist to join their analytics organization. This role will serve as the technical modeling engine behind player experience, monetization, and growth strategies. It 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. The Data Scientist will own modeling workstreams focused on fair matching algorithms, skill ranking systems, and predictive LTV. As the role progresses, responsibilities will expand to include churn prediction, mixed marketing models, and additional modeling projects driven by product and business priorities. The role requires close collaboration with the Director of Business Performance throughout the project lifecycle and the ability to represent the analytics function in cross-functional meetings with product, marketing, and engineering, explaining technical concepts to non-technical audiences.

Requirements

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.
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.

Nice To Haves

Redshift experience
Experience with matching algorithms, ELO/Glicko-style rating systems, or similar player ranking frameworks.
Background in marketing mix modeling or multi-touch attribution.
Experience deploying models using cloud ML platforms (e.g. AWS SageMaker, Google Vertex AI, Databricks ML, or similar).
Familiarity with modern analytics and data tooling (e.g. Hex, notebooks, dbt, Airflow).
Exposure to experimentation design and A/B testing methodology.

Responsibilities

Own the modeling workstreams that sit at the core of how WorldWinner understands and serves its players.
Model and improve skill-based player matching to create competitive, satisfying game experiences.
Develop and refine the rating framework that underpins player progression and matchmaking.
Build models that forecast player lifetime value to inform acquisition, targeting, and monetization decisions.
Identify at-risk players and surface actionable signals for retention intervention.
Measure the incremental impact of marketing spend across channels.
Undertake additional modeling projects driven by product and business priorities.
Work closely with the Director of Business Performance throughout the lifecycle of every project.
Communicate progress, surface blockers early, and present findings to stakeholders.
Represent the analytics function in cross-functional meetings.
Explain model logic to non-technical audiences.
Translate business questions into analytical approaches.
Advocate for data-driven decisions.