Data Scientist

Koah Labs; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

A leading technology firm in San Francisco is seeking a data-driven Product Engineer to shape product decisions using robust statistical modeling and data analysis. The ideal candidate will have an advanced degree in a relevant field and a passion for solving complex problems. The role offers a unique opportunity to collaborate with a talented team, leveraging a diverse tech stack including Python and various database technologies. Join a fast-growing company that values continuous learning and impactful work.

Qualifications

• Advanced degree in a relevant field.
• Strong mathematical and statistical modeling skills.
• Experience in data driven decision making.

Responsibilities

• Drive product decisions using data and causal reasoning.
• Design and implement experiments, analyze results.
• Encourage data driven decisions within the engineering team.

Skills

Mathematical skills

Statistical modeling

Data analysis

Python

Communicating with technical audiences

Education

Advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering

Tools

PostgreSQL

ClickHouse

Kafka

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 $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