Data Scientist (Non-Gaming)

Key Responsibilities Statistical Modeling : Apply quantitative methods to business problems across the studio AB testing, forecasting, player segmentation, pricing analysis Data-Driven Decision Support : Translate complex outputs into clear recommendations for UA campaign managers, producers, and studio leadership Advanced Analytics : Go beyond dashboards and reports design experiments, build causal models, and apply rigorous statistical methods to answer the most challenging questions in gaming Production Models : Take models from prototype to production your work needs to run reliably, not just in a notebook Qualifications & Skills Must have: 5+ years of experience in a quantitative role (Data Scientist, Quantitative Analyst, or similar) Strong foundation in statistics and probability you understand when and why to apply specific methods, not just which library to import Proven forecasting or predictive modeling experience time series, regression, or similar approaches applied t...