Data Scientist

Koah Labs Inc.; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Koah Labs Inc. in San Francisco is seeking a data-driven specialist to help steer product decisions through rigorous analytics and experimentation.

You will work with product engineering to design and run experiments, analyze results, and model marketplace data to uncover actionable insights that guide strategy and product direction.

Qualifications

• Advanced degree in Physics, CS, Mathematics, Statistics, Engineering, or related field.
• Identify and own challenging problems, form testable hypotheses, and drive impact through research.
• Continuous learning and ability to question the status quo while making an impact.
• Strong mathematical and statistical modeling skills are required.
• Able to explain conclusions to both technical and non-technical audiences.

Responsibilities

• 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 marketplace data into tools and insights that shape product decisions.

Skills

Data analysis

Statistical modeling

Causal inference

Experiment design

Python

SQL

Education

Advanced degree

Tools

PostgreSQL

ClickHouse

Python

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-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