Staff Data Scientist I, Rewards Economy
Core
Design and optimize the rewards economy and loyalty systems for a mobile gaming app to balance user engagement with business profitability.
Role type
Staff Data Scientist (Rewards Economy)
Builds
Real-time predictive modeling and optimization systems for reward distribution
Domain
Mobile Gaming / Quantitative Economics / Machine Learning
Deliverable
production ML models
Required skills
Reinforcement learning (DeepQ, contextual bandits), Python, PyTorch, SQL, Econometrics, Quantitative Finance, Real-time predictive modeling
Preferred skills
Mobile gaming industry experience, Player behavior economics, Core loop design
Technologies
Python, PyTorch, SQL
Responsibilities
Create and implement machine learning driven rewards economy systems and core loops; Continuously analyze and optimize economy strategies to enhance engagement; Design and productionize contextual bandits and RL frameworks for personalized reward distribution; Partner with Product, Analytics, Engineering, and Finance to translate business goals into algorithmic constraints; Distill complex model outputs into actionable strategic insights for executives.
Seniority
Staff, hands-on IC with strategic leadership
