Data Scientist
David AI • San Francisco, CA2d • $155,000 - $220,000
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Data Scientist
David AI•San Francisco, CA
•$155,000 - $220,000
About The Position
David AI is an audio data research company that develops datasets with an R&D approach. Its Data Science team turns business activity into insights, metrics, and data foundations that guide company growth, partnering with product, engineering, research, operations, and go-to-market teams. As a Data Scientist, you will use data to inform company decisions: identify what to build, measure whether it is working, and establish foundations for defining, storing, and trusting data. The role spans experimentation, deep-dive analysis, forecasting, dashboards, and modeling, as well as building reliable data pipelines and models.
Requirements
- At least 3 years of experience working as a product Data Scientist on a cross-functional team.
- Experience turning ambiguous problems into clear recommendations.
- Experience working in a fast-paced environment and owning work end-to-end.
- Proficiency with AI coding tools and agentic workflows, supported by SQL and Python skills to validate their output.
Nice To Haves
- Hands-on experience building and maintaining ETL pipelines and data models, for example with dbt, Airflow, or 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.
Responsibilities
- Work cross-functionally to identify high-leverage business problems and drive them to resolution.
- Form and advocate a point of view on individual and team priorities, using data to shape the roadmap.
- Define core metrics for the health of the 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 through analysis and the ship decision.
- Design and build reliable ETL pipelines and data models that make data trustworthy, well-documented, and easy to use.
- Work across experimentation, deep-dive analysis, forecasting, dashboards, and modeling.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
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