More jobs:
Data Scientist
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-07-26
Listing for:
Koah Labs Inc.
Full Time
position Listed on 2026-07-26
Job specializations:
-
IT/Tech
Data Scientist, Data Analyst
Job Description & How to Apply Below
Who We Are
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 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, Click House, Redis, Kafka, Python - Core Application
:
Ruby on Rails, React, Type Script - SDKs
: iOS, Android, Web, Flutter, React Native
- 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
- 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
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