Job Title: Data Scientist - Product Engineering

Company Name: Koah Labs

Job Details: $180k-$250k/yrRemoteFull,Time

Job Url: https://hiring.cafe/viewjob/xugvfsemysf3rb6q

Job Description: Posted 2w agoData Scientist - Product Engineering @ Koah LabsView All JobsSan Francisco or United States$180k-$250k/yrRemoteFull TimeResponsibilities:Drive decisions, Design experiments, Analyze resultsRequirements Summary:Advanced degree in Physics, CS, Mathematics, Statistics, Engineering or related field; strong statistical modeling; designing experiments; data-driven decision making; effective communication of insights.Technical Tools Mentioned:Terraform, AWS, LGTM, Tailscale, Cloudflare, PostgreSQL, ClickHouse, Redis, Kafka, Python, Ruby on Rails, React, TypeScript, iOS, Android, Web, Flutter, React Native
Who We AreKoah 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 $5.7M 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 StackInfra: 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 reasoning Design, 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 insights You might be a fit ifYou 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