Premier consumer entertainment and commerce. Backed by General Catalyst.
About the role
As a Data Scientist, you'll own the quantitative systems that drive how millions of players experience Triumph's products, from their first session to long-term retention and monetization. You'll build the models and frameworks behind our most critical business decisions: how we price, how we pay out, how we match players, and how we grow.
What they're looking for
- Bachelor's degree in a quantitative subject: math, physics, computer science, statistics, economics, or a related discipline
- True depth and mastery in at least one quantitative domain: probability, statistics, applied ML, causal inference, or mathematics. We want spiky people who are confident they are among the best in their discipline
- Proficiency in Python and SQL
- Experience working with large-scale user or behavioral datasets
- Experience in consumer tech, gaming, fintech, or marketplace data science, particularly in monetization, LTV modeling, or experimentation
- Prior experience as a quantitative trader or quantitative researcher
More about this role
As a Data Scientist, you'll own the quantitative systems that drive how millions of players experience Triumph's products, from their first session to long-term retention and monetization. You'll build the models and frameworks behind our most critical business decisions: how we price, how we pay out, how we match players, and how we grow.
You'd be joining a small, high-output quant team (4 people today) that operates like a trading desk. We build the mathematical systems that power Triumph's core business: pricing engines, payout distributions, matchmaking algorithms, risk models, and player behavior systems. Every model we ship touches money and real users. You see the impact in the numbers the next day.
Monetization & Pricing : Develop and optimize the pricing engines, payout structures, and edge calculations that are the mathematical backbone of Triumph's revenue. Own pack economics, rarity calibration, and pricing models for Rips by Triumph.
User Journey & Retention : Build models that map the full player lifecycle: acquisition, activation, engagement, monetization, churn risk. Identify the quantitative levers that move retention and LTV, and design interventions that act on...
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