Data Scientist

We are looking for a Data Scientist with 2–8 years of experience to join a small, elite quant team at Triumph Labs — a profitable, high-growth real-money entertainment platform with two #1 App Store products. You'll own the quantitative systems behind pricing, retention, and monetization that touch millions of users and real dollars.

What will you be doing?

Digging into user journey data to uncover insights (e.g., churn-driving gameplay sequences) and proposing actionable remedies that drive measurable revenue impact

Building dashboards, visualizations, and analytics to communicate results to leadership and cross-functional teams (product, engineering, growth)

Developing and optimizing pricing engines, payout structures, LTV models, and predictive models for ad spend

Originating and building new product features from the data team — from concept through engineering implementation to performance measurement

Running A/B tests and experimentation frameworks to validate what's actually working across the product

Key Requirements

Notable pedigree required — must come from a recognizable logo (top consumer tech like Robinhood/Netflix/Uber/Lyft/TikTok, quant trading shops, or Series B+ startups). No non-selective, non-startup companies.

Top university required — must have attended a top ~20 school with a technical degree (math, physics, CS, statistics, or engineering)

Proficiency in Python and SQL — non-negotiable hard skills for modeling and data work

High agency and comfort with ambiguity — minimal handholding; must independently generate ideas, do the research, and drive to measurable outcomes

On-site 5 days/week at Triumph's SF HQ (Levi's Plaza) — no exceptions without executive sign-off