Data Scientist

🏢 Triumph Arcade · 📍 San Francisco HQ · 💼 onsite · ⏰ FullTime

⚡ Direct Talent Broker Referral

Why apply through CandidatesReach?

✔ Tailored Executive Endorsement Letter: Highlight your real strengths and verified background directly to hiring leads.

✔ Your Preferred Screening Terms: Choose between a 1-minute quick phone screen or scheduled email calendar.

✔ $500 Cash Hiring Bonus: Receive $500 direct cash reward after 30 days of active employment.

Position Summary & Responsibilities

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.

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.

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. Identi

🎯 Candidate Preparation Guide For Triumph Arcade Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Evaluates gamified monetization design, skill-based competitive mechanics, and engagement loops that drive high user retention in mobile gaming.

📋 Preparation Priorities (Key Areas to Clarify):

1. Designing games purely for aesthetic or artistic merit without regard for unit economics
2. Ignorance of regulatory and compliance landscapes surrounding skill-based gaming
3. Slow feature shipping cadence in a market that demands constant content updates

✨ Recommended Role Alignment Hook:

I design high-retention skill-based gaming experiences that balance fair competitive mechanics with aggressive monetization loops.

🔒 Free Candidate Preparation Access

Unlock Preparation Priorities & Alignment Hook

🤝 Talent Broker Referral · $500 Bonus Included

Apply for Data Scientist

Setup your contact terms & referral note to get recommended directly to the hiring lead at Triumph Arcade.

⚡ Continue with Google (Instant Setup)

or with email

Already have an account? Sign in here