Applied AI Data Analyst

Socket.dev; New York (NY); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity

Health coverage

Dental and vision coverage

Fertility/Family-forming support

Parental leave (12 weeks)

Unlimited PTO

401(k)

Relocation assistance

Workspace stipend

Team perks

Job summary

Confido, based in New York City, is seeking an Applied AI Data Analyst to bridge massive unstructured financial and operational data with our R&D team. You will own the evaluation platform of agentic forecasting pipelines and improve customer-facing insights for mission-critical decisions.

This role sits in the Applied AI Research department, with opportunities to advance to senior data science and AI/ML engineering roles. In-person in NYC with relocation support.

Qualifications

• Graduate degree in STEM fields (MS/PhD) required.
• 2–4 years of experience as a quantitative data analyst or AI evaluation professional.
• Proficiency in Python and hands-on work with AI/ML models.
• Strong SQL skills and enterprise data infra (PostgreSQL, Snowflake, dbt, AWS).
• Ability to translate unstructured document data into rigorous evaluation insights for engineers.

Responsibilities

• Analyze edge cases, model predictions, hallucination rates and extraction accuracy for LLM-driven document processing systems and agentic workflows.
• Root cause analysis of complex datasets to explain why an extraction or time-series model succeeded or failed.
• Define, curate, and maintain gold-standard evaluation datasets for automated backtesting of AI agents and demand forecasting models.
• Build dashboards, data transformations, and evaluation harnesses to monitor system health, model drift, and AI performance across release cycles.
• Collaborate with applied AI engineers, product managers and business operations managers to translate real-world problems into quantitative product insights.

Skills

Python

SQL

PostgreSQL

Snowflake

dbt

AWS

Analytical mindset

Education

Graduate degree in STEM (MS/PhD)

Tools

LangSmith

Arize AI

TruLens

Job description

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.