Lead Data Scientist

Work as part of a centralized team that delivers both portfolio-level strategic insights and deep, title-specific analysis. Lead media mix modelling (MMM) to measure the effectiveness of paid and owned marketing channels across campaigns, genres, and regions, guiding budget allocation and strategic planning. Build and apply churn and LTV models that connect early-game behavior to retention and monetization outcomes across diverse acquisition sources. Design and interpret incrementality tests in partnership with UA, brand, and lifecycle teams to isolate the true ROI of upper- and lower-funnel spend. Serve as a strategic partner to cross-functional teams, contributing to design reviews, experiment planning, and live-service readiness assessments based on predictive modelling. Collaborate with user research and design teams to extract meaningful insights from small-sample playtests. Mentor and collaborate with game analysts to build an evidence-based understanding of games from early playtests through launch.