Data Scientist

The role

You will own quantitative systems that drive player experience, retention, and monetization. You will build models for pricing, payouts, matchmaking, risk, and player behavior.

What you will do

• Develop and optimize pricing engines, payout structures, and edge calculations.
• Own pack economics, rarity calibration, and pricing models for Rips by Triumph.
• Build models mapping the player lifecycle including acquisition, activation, engagement, monetization, and churn risk.
• Design and analyze experiments with rigorous statistical methodology.
• Develop ML and statistical models on high-frequency user behavior data.
• Build models to inform acquisition spend and channel optimization.
• Partner with engineering, product, and leadership to translate model outputs into features.

Required qualifications

• Bachelor's degree in a quantitative subject: math, physics, computer science, statistics, economics, or a related discipline.
• Mastery in at least one quantitative domain: probability, statistics, applied ML, causal inference, or mathematics.
• Proficiency in Python and SQL.
• Experience working with large-scale user or behavioral datasets.

Nice to have

• 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.
• Experience in competitive math, physics, or CS olympiads, or a graduate degree in a quantitative discipline.
• Nationally competitive in any activity.

Benefits

• Competitive salary and benefits.
• $400/mo lunch credit
• healthcare
• vision
• dental
• 401k

About the company

Triumph is a high-growth consumer platform touching gaming, finance, and social. The quant team is small and operates like a trading desk.