Data Scientist - Product Engineering
About The Position
Koah 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 Stack Infra : Terraform, AWS, LGTM (Loki, Grafana, Tempo, Mimir), Tailscale, Cloudflare Data : PostgreSQL, ClickHouse, Redis, Kafka, Python Core Application : Ruby on Rails, React, TypeScript SDKs : iOS, Android, Web, Flutter, React Native In this role, you will Sit within product engineering and help drive product decisions using data and causal reasoning Design, implement, execute experiments and analyze results Help level-up all of engineering, encouraging data driven decisions and a deep understanding of the important metrics that drive our business forward Use rigorous statistical thinking and hands-on modeling to turn our rich marketplace data into tools that directly shape product decisions and key insights
Requirements
- You have an advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering, or a related field
- You enjoy identifying and owning challenging problems, forming testable hypotheses, and conducting impactful research to drive significant business impact
- You have a relentless focus on continuous learning and making an impact with an ability to question the status quo
- You have strong mathematical and statistical modeling skills
- You enjoy communicating conclusions to both technical and non-technical audiences alike
Responsibilities
- Sit within product engineering and help drive product decisions using data and causal reasoning
- Design, implement, execute experiments and analyze results
- Help level-up all of engineering, encouraging data driven decisions and a deep understanding of the important metrics that drive our business forward
- Use rigorous statistical thinking and hands-on modeling to turn our rich marketplace data into tools that directly shape product decisions and key insights
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
1-10 employees
