3+ years of experience as a product Data Scientist on cross-functional teams.
Ability to transform ambiguous problems into actionable recommendations.
Experience in fast-paced environments with end-to-end ownership of projects.
Proficient in SQL and Python for validating AI coding tools and workflows.
Responsibilities
Identify and resolve high-impact business problems through cross-functional collaboration.
Advocate for prioritization of tasks based on data-driven insights.
Define and maintain core business metrics and a consistent data dictionary.
Manage A/B testing processes from hypothesis to analysis and decision-making.
Design and implement reliable ETL pipelines and data models for trustworthy data.
Engage in various data science activities, including experimentation and forecasting.
Benefits
Collaborative work environment with cross-functional teams.
Opportunity to influence product direction and company strategy.
Access to cutting-edge AI tools and technologies.
Focus on professional growth and skill development.
Full Job Description
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.
