Data Scientist

Koah; United States; On-site; USD 180,000 - 250,000; Full time

Job summary

A dynamic tech startup in San Francisco is looking for a product engineer to join their team. The ideal candidate will possess an advanced degree in a relevant field and have strong statistical modeling and data analysis skills. You will be responsible for driving product decisions, designing experiments, and communicating insights effectively. This role offers a competitive compensation package ranging from $180K to $250K, allowing you to make a significant impact in an evolving marketplace.

Qualifications

• Advanced degree in a relevant field is essential.
• Strong mathematical and statistical modeling skills required.
• Experience in data analysis and statistical thinking is beneficial.

Responsibilities

• Drive product decisions using data and causal reasoning.
• Design and analyze experiments to evaluate product outcomes.
• Encourage data-driven decisions within the engineering team.

Skills

Statistical modeling

Data analysis

Mathematics

Communication skills

Education

Advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering, or a 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‑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.

Compensation Range: $180K - $250K