> Markdown version of [/jobs/ext/3952656-data-scientist](https://www.wearedevelopers.com/jobs/ext/3952656-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** KOAH LABS INC. - **Location:** San Francisco, CA, United States - **Contract:** Permanent contract - **Skills:** Flutter, Artificial Intelligence, Amazon Web Services, Android Software Development, Apple IOS, Design of User Interfaces, Human-Computer Interaction, IOS SDK, Python (Programming Language), PostgreSQL, Ruby on Rails, Redis, TypeScript, ReactJS, Grafana, Information Technology, Cloudflare, Apache Kafka, React Native, Vertica, Terraform - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/data-scientist-san-francisco-ca--07d3f419-e4e6-4c8c-8a2a-8d3761578764 ## About the Role Data Science, Artificial Intelligence (AI), User Interface/Experience (UI/UX), Power Generation, Startup, Apple, Ecosystems, Android, React Native, iOS SDK (fka iPhone SDK), * 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 ## Description * 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