Data Scientist

Koah; San Francisco (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

A dynamic tech startup in San Francisco is seeking a data-driven individual to join their product engineering team. You'll be responsible for driving product decisions using statistical modeling and rigorous analysis. Ideal candidates will have advanced degrees in quantitative fields and strong problem-solving skills. The role offers a competitive salary between $180K and $250K and presents an opportunity to make significant business impacts while working in a rapidly growing environment.

Qualifications

• Possess an advanced degree in a quantitative field.
• Have strong mathematical and statistical modeling skills.
• Enjoy continuous learning and driving impactful research.

Responsibilities

• Drive product decisions using data and causal reasoning.
• Design, implement, and analyze experiments.
• Encourage data-driven decisions across engineering.

Skills

Statistical modeling

Data-driven decision making

Mathematical analysis

Problem-solving

Communication skills

Education

Advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering or related field

Tools

PostgreSQL

Python

Ruby on Rails

React

TypeScript

Job 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‑knitted 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

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

Compensation Range: $180K – $250K