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 real-world problem definitions into quantitative product defining insights. What we're looking for Required Education: Graduate degree (M.S. or Ph.D.) in Computer Science, Data Science, Statistics, Mathematics, Physics, or a related STEM field. Experience: 2–4 years of experience in a quantitative data analyst or AI evaluation role, working closely alongside AI/ML R&D teams. Programming & Agentic AI: Proficiency in Python and hands-on works with AI/ML models Data Stack: Strong capabilities with SQL and enterprise data infrastructure ( PostgreSQL , Snowflake , dbt , AWS ). Analytical Mindset: Exceptional ability to translate noisy, unstructured document data into rigorous evaluation insights for engineers. Nice to have Experience with LLM observability, tracing, and eval frameworks ( LangSmith , Arize AI , or TruLens ). Proficiency with agentic workflows or multi-agent orchestration. Familiarity with demand forecasting, time-series models, or statistical modeling. Comfort in fast-moving, high-growth NYC startup environments. 🌴 Perks + Benefits Equity — own a meaningful piece of the company you’re helping build Fully paid health coverage through Aetna — we cover 100% of employee premiums Top-tier dental and vision coverage through Guardian Carrot Fertility Pro — comprehensive fertility and family-forming support 12 weeks of paid parental leave Unlimited PTO — plus regular 4-day holiday weekends we actually take 401(k) through Vestwell Paid relocation support — we’ll help you make the move to NYC Fully equipped workspace from day one — laptop, monitor, keyboard, and a $200 stipend to personalize your setup Team perks — catered Friday lunches, team dinners, and unlimited coffee + snacks featuring products from the brands we work with Confido provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.