Faris Zahrah
Senior Data Scientist, Optimization & Experimentation (Economy Marketplace) @Mythical Games
Signup · Get unlimited contacts
WORK HISTORY
Senior Data Scientist, Optimization & Experimentation (Economy Marketplace) @Mythical Games
Los Angeles, CA, US
Summary: Led data and experimentation for economy and marketplace systems across 4 live game titles, owning pricing models, automated trading policies, and market-structure experiments from design through production.* Owned the data and experimentation agenda for economy and marketplace systems; partnered with Product, Engineering, Finance, and game studios to design, ship, and measure high-impact changes.* Built a Spot Price model to predict asset prices from sparse marketplace data; integrated outputs into bidding and listing policies to improve pricing accuracy and trading efficiency across live markets.* Designed and evaluated automated trading policies that accelerated price discovery and optimized margin under platform constraints, including minimum market-share requirements.* Ran market-structure experiments on fees and segmentation; a fee restructuring unlocked a lower price band and increased transaction volume by 28% while protecting margin.* Ran price elasticity experiments and shipped pricing adjustments that drove 25%+ primary-market revenue lift.* Extended spot price valuation outputs into an Asset Utility Index used to prioritize roadmap decisions and estimate feature impact.* Served as cross-functional owner of AMM performance, leading weekly prioritization cadences across Product, Engineering, and Finance.
EDUCATION
University of Iowa
Bachelor of Science (B.S.), Economics, Arabic and Studio Arts Minor
Illinois Institute of Technology
Master of Science - MS, Bachelor of Science - BS, Computer Science
SKILLS
ABOUT FARIS ZAHRAH
I build online decision systems for games and digital marketplaces—models, policies, and experiments that shape user experience, engagement, and monetization.At Mythical Games, I’ve led market-making operations, built liquidity and pricing systems, and shipped experiments that tested elasticity, surfaced counterintuitive dynamics, and informed long-term strategy. In practice, that means turning noisy real-world signals into valuation models, integrating them into production policies under constraints, and iterating through disciplined measurement with product and engineering.I’m drawn to high-leverage work without templates: launching new systems, refining core mechanics, and making technical decisions that hold up under real usage.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.