Pay
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Data Scientist
San Francisco · New York City · San Francisco, California, United States
Actively hiring, first seen by us today- Pay
- Pay not listedSimilar roles state $118K–$193K
- Work setting
On-site — work setting source
Location type: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Operations — team source
Department: Operations
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Will you require visa sponsorship now or in the future?
From the employer’s application form
What you’ll work on
Full postingAs a Data Scientist at David AI, you'll turn our data into decisions.
Work cross-functionally to identify the highest-leverage business problems and drive them to resolution.
Define core business, product and operations metrics and maintain the data dictionary
Own A/B experiments from test design through analysis and ship decision
Design and build reliable ETL pipelines and data models
Identify high-leverage business problems and drive them to resolution with cross-functional teams
Run deep-dive analysis, forecasting, dashboards and modeling
From the employer’s posting
As a Data Scientist at David AI, you'll turn our data into decisions. You'll help figure out what we should be building, measure whether it's working, and lay the foundation for how the company defines, stores, and trusts its data.
Work cross-functionally to identify the highest-leverage business problems and drive them to resolution.
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.
About David AI
Our mission is to bring AI into the real world, and we believe audio is the gateway.
In the employer’s words · Read in context · Company website ↗
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 4, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 7 and day 55.
From 9,971 similar postings that came down. Coming down is not always a hire.
David AI is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- dbt
- Airflow
- Dagster
Where the posting names them
- 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
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.
Your next step
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
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- No account needed. “Autofill from resume” at the top of the form fills the key fields from your file.
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Job description
About David AI
David AI is the first audio data research company. We bring an R&D approach to data–developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human—it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in.
David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we’ve brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors.
Our team is sharp, humble, ambitious, and tight-knit. We’re looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI.
About our Data Science team
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.
About this role
As a Data Scientist at David AI, you'll turn our data into decisions. You'll help figure out what we should be building, measure whether it's working, and lay the foundation for how the company defines, stores, and trusts its data.
In this role, you will
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.
Your background looks like
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.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
San Francisco, California, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.