Data Scientist

Koah Labs Product EngineerKoah Labs is building the ad network to power the next generation of AI-native products. Our mission is to help publishers monetize and help advertisers reach the right audience — without compromising speed, UX, or privacy.We're a small, tight-knit team in San Francisco with backgrounds at X, Apple, Meta, and early-stage startups. We've raised from top investors and are growing fast with real traction on both the publisher and advertiser sides.Working at Koah means joining at the ground floor: you'll ship code that shapes the company and the ecosystem we're building. We move quickly, operate with high trust, and care deeply about craft.Our stack includes:Infra: Terraform, AWS, LGTM (Loki, Grafana, Tempo, Mimir), Tailscale, CloudflareData: PostgreSQL, ClickHouse, Redis, Kafka, PythonCore Application: Ruby on Rails, React, TypeScriptSDKs: iOS, Android, Web, Flutter, React NativeIn this role, you will:Sit within product engineering and help drive product decisions using data and causal reasoningDesign, implement, execute experiments and analyze resultsHelp level-up all of engineering, encouraging data driven decisions and a deep understanding of the important metrics that drive our business forwardUse rigorous statistical thinking and hands-on modeling to turn our rich marketplace data into tools that directly shape product decisions and key insightsYou might be a fit if:You have an advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering, or a related fieldYou enjoy identifying and owning challenging problems, forming testable hypotheses, and conducting impactful research to drive significant business impactYou have a relentless focus on continuous learning and making an impact with an ability to question the status quoYou have strong mathematical and statistical modeling skillsYou enjoy communicating conclusions to both technical and non-technical audiences alike