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# Data Scientist

- **Company:** David AI
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Data Dictionary, Extract Transform Load (ETL), Python (Programming Language), SQL Databases, AI Coding Agents, Build Management, Drilldown
- **Published:** November 4, 2026
- **Apply:** https://startup.jobs/data-scientist-david-ai-10669194

## About the Role

* 3+ years of experience working on a cross-functional team as a product Data Scientist.
 * Experience turning ambiguous problems into clear recommendations.
 * Experience working in a fast paced environment where you owned your work end-to-end.
 * Proficiency with AI coding tools and agentic workflows, grounded in the SQL and Python skills needed to validate their output.

Bonus points if you have

 * Hands-on experience building and maintaining ETL pipelines and data models (e.g., dbt, Airflow, Dagster).
 * Experience defining company-wide metrics, building a data dictionary, or setting up analytics governance.
 * Experience with audio data, data research companies, or LALM evaluations.

## Description

Our Data Science team turns the activity across our business into the insights, metrics, and data foundations that guide how we grow. We move fast, own our work end-to-end, and partner closely with product, engineering, research, operations, and go-to-market to make sure the company is working on the right problems, measuring what matters, and drawing data backed conclusions., * Work cross-functionally to identify the highest-leverage business problems and drive them to resolution.

 * Form and advocate your own point of view on what you and the broader team should prioritize, using data to shape the roadmap.
 * Define core metrics that measure the health of our business, products, and operations, and own the data dictionary that keeps them consistent across the company.
 * Own A/B experimentation end-to-end, from hypothesis and test design to analysis and ship decision.
 * Design and build reliable ETL pipelines and data models that make our data trustworthy, well-documented, and easy to use.
 * Work across the full range of data science, including experimentation, deep-dive analysis, forecasting, dashboards, and modeling.