Data Scientist (Alameda)

About this roleWe are looking for a Data Scientist with 2–8 years of experience to join a small, elite quant team — 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 impactBuilding 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 spendOriginating and building new product features from the data team — from concept through engineering implementation to performance measurementRunning A/B tests and experimentation frameworks to validate what's actually working across the productKey RequirementsNotable pedigree required — must come from a recognizable logo (top consumer tech, 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 workHigh agency and comfort with ambiguity — minimal handholding; must independently generate ideas, do the research, and drive to measurable outcomesOn-site 5 days/week at SF HQ — no exceptions without executive sign-off