# Data Scientist at Koah

Data Scientist at Koah in San Francisco and 1 more. Hybrid, full-time, paying $180k–$250k. Posted January 22, 2026.

- Company: Koah
- Location: San Francisco and 1 more
- Workplace: Hybrid
- Job type: Full-time
- Pay: $180k–$250k
- Posted: 2026-01-22
- Apply: https://jobs.ashbyhq.com/koahlabs/ccbb05f9-2a89-46c2-b54d-b56288521f9a/application
- Source: https://jobmagic.ai/jobs/data-scientist-koah-2jy883

## Description

**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, 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

**You might be a fit if**

- 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