Data Scientist

Data ScientistConsumer Growth, Quantitative Modeling & Applied MLSan Francisco, CA — On-site 5 Days/WeekBase Salary: Up to $400K + Significant EquityVisa Sponsorship & Relocation AvailableTriumph Labs is a profitable, hyper-growth consumer entertainment platform processing billions in annual volume across two #1 App Store products. We are hiring a high-impact Data Scientist to join a small elite quantitative team focused on monetization, experimentation, retention, pricing systems, and predictive modeling.You will work closely with leadership and directly influence revenue, growth, and product strategy.What You'll Do• Analyze large-scale user data to uncover insights driving retention, monetization, and growth• Build dashboards, experimentation frameworks, LTV models, and predictive analytics systems• Design and optimize pricing engines, payout structures, and revenue-driving features• Partner closely with product and engineering teams to launch data-driven initiatives• Run A/B tests and measure real business impact• Mentor junior team members and help scale the data organizationMust Haves1. Experience• 2 + years of experience in data science, analytics, quantitative research, or applied ML• Strong background from:• High-growth Series B+ startups• Top consumer tech companies• Quant trading firmsExamples: Uber, TikTok, Netflix, Robinhood, Optiver, Jane Street, Citadel, etc.2. Technical SkillsRequired• Advanced Python proficiency• Strong SQL proficiencyDeep Expertise In At Least One:• Probability• Statistics• Applied Machine Learning3. Education• Bachelor's degree in a quantitative field:• Computer Science• Mathematics• Statistics• Physics• Engineering• Strong academic background in a quantitative discipline from a top-tier university preferredExamples include Stanford, MIT, Berkeley, Caltech, Carnegie Mellon, Princeton, etc.Ideal Candidate ArchetypesArchetype 1 — Generalist Senior Data Scientist (Most Preferred)Broad analytics and growth experience with ability to mentor others and operate as a right-hand partner to the Head of Data Science.Archetype 2 — Consumer / Marketplace Data ScientistStrong B2C growth experience with hands-on work in dashboarding, LTV modeling, experimentation, and measurable revenue impact.Archetype 3 — Quant Trader / ResearcherStrong probability, game theory, optimization, or quantitative trading background.Archetype 4 — ML Engineer / Applied ScientistHands-on model deployment experience with predictive systems, recommendation models, or experimentation infrastructure.Why Join Triumph Labs• Profitable company with millions of users and hundreds of millions in revenue• Raised $65M+ from General Catalyst, Drive by DraftKings, and Goodwater Capital• Small elite team with massive ownership and visibility• Real-time impact on products used by millions of users• Fast interview process with strong compensation and equity upsideInterview Process15-minute intro call45-minute technical interviewFinal on-site interview in San Francisco