Data Scientist
Company websitekoahlabs.com (Koah, opens in new tab)
Base salary $180K to $250K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceHybrid
- Status at last checkSource accepting applications when checked
- Last checked (3 h ago) · observed since
About this job
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
Source: Koah on Ashby · View original posting (opens in new tab)
Pay in context
This role's base floor ($180,000) is above 40% of the 1,469 Data & ML roles in California listed on this site; 55 others list the same floor. Their median floor is $190,000; the middle half runs from $160,000 to $229,900.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingData Scientist$180K to $250K
Software Engineer - Product$180K to $250K
Software Engineer - Backend$180K to $250K
Software Engineer - Platform$180K to $250K
Applied Scientist$200K to $300K
Software Engineer, Early Career$120K to $160K
Chart as a table
| Role | Published base |
|---|---|
| Data Scientist (this listing) | $180K - $250K |
| Software Engineer - Product | $180K - $250K |
| Software Engineer - Backend | $180K - $250K |
| Software Engineer - Platform | $180K - $250K |
| Applied Scientist | $200K - $300K |
| Software Engineer, Early Career | $120K - $160K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-01-22
Where this pay comes from
Location as the employer wrote it: San Francisco • United States
USD 180,000 – 250,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
