This job offer is no longer available
About
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 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, 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 SF HQ — no exceptions without executive sign-off
Languages
- English
Notice for Users
This job was posted by one of our partners. You can view the original job source here.