Applied AI Data Analyst
Confido is the AI infrastructure powering modern CPG — the platform that 200+ brands like OLIPOP, Simple Mills, Dr. Squatch, and Tropicana use to run everything from deductions to production planning. Finance, accounting, sales, and operations, unified in one system for the first time.
We're growing 5x year over year with a small team in New York City; the people who join now will shape the product, the culture, and the company itself.
If you want your work on shelves everywhere — and outsized ownership while you build — we'd love to meet you.
THE ROLE
As an Applied AI Data Analyst, you will bridge the gap between our massive, unstructured financial and operational datasets to our core R&D team. You will own the evaluation platform of our agentic workflows forecasting pipelines, as well as improve customer facing insights leading to mission-critical decisions.
This role is part of the Applied AI Research department, with options to advance to senior data science and AI/ML engineering roles.
Location: New York, NY (In-Person | Relocation supported)
WHAT YOU'LL DO
- Algorithm & LLM Evaluation: Analyze edge cases, model predictions, hallucination rates, and extraction accuracy for our LLM-driven document processing systems and agentic workflows.
- Root Cause Analysis: Dig deep into complex datasets (inconsistent financial documents, fragmented enterprise systems) to determine why an extraction or time-series model succeeded or failed.
- Golden Dataset Curation: Define, curate, and maintain gold-standard evaluation datasets ("golden sets") for automated backtesting of AI agents and demand forecasting models.
- Performance Monitoring & Evals: Build dashboards, data transformations, and evaluation harnesses to monitor system health, model drift, and AI performance metrics across release cycles.
- Cross-Functional Collaboration: Partner directly with applied AI engineers, product managers and business operations managers to turn qualitative rea...