Data Scientist

What You'll Do

• 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 them.
• Experimentation: Design and analyze experiments (A/B tests and beyond) with rigorous statistical methodology. Own the measurement framework that tells us what's actually working across the product.
• Behavioral Modeling: Develop ML and statistical models on rich, high-frequency user behavior data (session patterns, spend curves, matchmaking outcomes, gameplay trajectories) to drive both product decisions and real-time production systems.
• Growth & Acquisition: Build models that directly inform acquisition spend and channel optimization, connecting upstream marketing decisions to downstream LTV and monetization outcomes.
• Cross-Functional Impact: Partner closely with engineering, product, and leadership to translate model outputs into shipped features and strategic decisions. Identify high-leverage quantitative problems across the business and drive them from formulation to production impact.

Qualifications

• 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.
• Proficiency in Python and SQL.
• Experience working with large-scale user or behavioral datasets.

PREFERRED QUALIFICATIONS

• 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.

Why Triumph?

• High growth. Build a high-scale consumer platform that touches gaming, finance, and social with the autonomy to set our web direction.
• High agency. Small, high-impact engineering team that is growing rapidly with significant opportunity for leadership and growth.
• High energy. Passionate team who are proud of our work and velocity (16x year over year growth).
• Competitive salary and benefits. $400/mo lunch credit, healthcare, vision, dental, 401k, etc.
• Our team gathers 5 days a week at Triumph’s headquarters at Levi’s Plaza in San Francisco.
• Compensation Range: $200K - $400K