Game Economist
Core
Design, model, and balance in-game economies, monetization loops, and virtual goods pricing to maximize player engagement, retention, and lifetime value.
Role type
Game Economist (R&D Data and Analytics)
Builds
In-game economies, virtual currencies, progression systems, and predictive economic models
Domain
Gaming / Free-to-play (F2P) monetization
Deliverable
production ML models
Required skills
SQL, Python, game economy design, balancing, monetization modeling, statistical analysis, F2P mechanics understanding, player psychology
Preferred skills
Cross-functional collaboration, translating complex datasets into actionable insights
Technologies
SQL, Python
Responsibilities
Design and balance robust in-game economies, virtual currencies, and progression systems; Build predictive economic models and simulations to forecast player behavior and monetization performance; Analyze live-ops data, player spending habits, and retention metrics to optimize pricing and promotional offers; Define key performance indicators (KPIs) for game monetization and track economic health post-launch
Seniority
Mid-Senior, hands-on IC
