Builds AI agents and systems to automate end-to-end data science workflows, including analysis, querying, pipelines, and experiment interpretation. Requires 6+ years in data science/engineering with strong SQL, Python, and AI experience.
210k – 330k
On-site6+ YOEData Science
About the role
What You'll Do
Accelerate the AI-native data workflow - turn what's working into repeatable systems, scalable tools, and patterns for the data team and company
Build AI agents that do data science - conduct end-to-end analyses: explore data, form hypotheses, run queries, interpret results, generate recommendations
Make the warehouse AI-readable - build semantic layer, context, retrieval infrastructure for accurate AI querying
Automate the data lifecycle - self-healing pipelines, automated dbt model generation/validation, data quality agents
Ship AI-powered experiment analysis - agents for A/B test interpretation, statistical flagging, ship/no-ship recommendations
Own the full lifecycle - identify problems, prototype with LLMs, iterate, deploy, monitor
Turn the data team into a product team - build internal data products with self-serve AI interfaces
What We're Looking For
6-8+ years in data science, analytics engineering, or related role
Strong product sense - work with product/business teams, understand user behavior and metrics
Deep SQL expertise - data modeling, warehouse experience
Pipeline experience - build/maintain pipelines, dbt, data quality
Build AI-powered analytics systems for hiring, compensation, performance, and workforce planning at an AI-native company. Partner across HR, Recruiting, and Finance to create predictive models, AI agents, and automated workflows that improve talent decisions.
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Hybrid6+ YOEData Science
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