Role focuses on building AI systems that transform data science workflows.
Develop AI agents and internal systems for end-to-end analysis workflows.
Build retrieval infrastructure and evaluation loops for reliable warehouse queries.
Create workflows to detect and fix data issues before they impact the company.
Develop scalable AI-native data capabilities and internal data products.

🎯 Requirements

6+ years in data science, analytics engineering, data engineering, or related role.
Deep SQL and analytics judgment.
Strong product sense and ability to turn prototypes into usable products.
Production-oriented Python ability and API wrangling.
Hands-on LLM experience with frontier models, agents, or AI-powered workflows.
Pipeline and modeling fluency with dbt and warehouse schemas.

🎁 Benefits

Not specified in the posting.

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