Game Mathematician (Casual Games)
Job Description:
Handle the Game Balancing and Economy Design: You define the numerical values for everything in the game, from how much XP a player earns per level to the drop rates of items. You ensure that the game isn't too easy (boring) or too hard (frustrating) by having a gradual progression curve that keep players engaged over time.
Probability and RNG Modeling: Design the underlying probability engines and ensure the Random Number Generation (RNG) feels fair to the players.
Monetization Simulation: You will need to build complex spreadsheets or simulations to predict how changes in the game economy affect revenue. For example, if you give players 100 free coins, you calculate how that impacts the long-term sink (spending) of the game’s virtual currency. You must be good with using spreadsheet.
Statistical Analysis & Monte Carlo Simulations: Before a feature is even coded, you run millions of automated simulations (often using Python or Spreadsheet) to see how a game mechanic behaves over time. This helps catch game-breaking exploits where a player could theoretically get infinite resources.
Collaboration with other Game Designers: You are the bridge between creative fun and hard logic. You translate a game designer's vision (e.g., "I want this boss fight to feel epic but winnable") into specific damage formulas, health pools, and critical hit chances.
Job Requirements:
Thank you for your time.
Game Mathematician (Casual Games) • D05 Clementi New Town, Hong Leong Garden, Pasir Panjang, SG