Data Scientist - Mobile Growth

- Build Bayesian Hierarchical Media Mix Models (MMMs) to quantify the contribution of marketing channels - Design and analyze geo-based incrementality experiments and user-level re-engagement tests to measure the causal impact of marketing spend - Lead the design and analysis of retargeting experiments, applying A/B testing principles to evaluate incremental impact and guide campaign optimization - Develop budget optimization tools to support strategic decision-making - Create forecasting models (ie: Prophet) to project game performance - Translate model insights into actionable recommendations, collaborate closely with media buyers and presenting results and insights to stakeholders - Master's degree in a quantitative field (e.g., Statistics, Econometrics) - 2–5 years of experience in data science or analytics, ideally focused on marketing measurement or experimentation - Familiarity with MMMs, causal inference techniques (e.g. CausalImpact, Fixed Effect Regression), and experimental design - Strong experience with Python/R and SQL - Comfort working in a Bayesian modeling framework - Ability to communicate technical results to non-technical stakeholders