Koah
MarTech & AdTechDirect Ashby career site

Data Scientist

Location
San Francisco, CA (Remote) · On-site
Level
Mid-level
Listed
30 days ago

Skills & highlights for this role

  • experiment design
  • causal inference
  • statistical modeling

Also useful

  • Python
  • PostgreSQL
  • ClickHouse

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

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.

Read the original posting

From Koah's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

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Common questions

Where is the Data Scientist job at Koah located?

Yes, this Data Scientist opening at Koah is listed as San Francisco, CA (Remote) (On-site). Always check Koah's application page for specific state eligibility or relocation policies.

What qualifications are required for Data Scientist at Koah?

For the Data Scientist role, Koah highlights experience with experiment design, causal inference, statistical modeling. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Data Scientist position at Koah?

This listing links directly to Koah's Ashby application page. You can apply directly on Koah's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.

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