Applied AI Data Analyst Job in New York | $180K–$230K Salary

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Applied AI Data Analyst – Confido

Location: New York, NY

Work Mode: On-site / In-person

Job Type: Full-time

Salary: $180,000–$230,000 per year

Relocation: Supported


About the Job:

Confido is an AI infrastructure company powering modern CPG operations. Its platform is used by 200+ brands, including OLIPOP, Simple Mills, Dr. Squatch and Tropicana, to manage areas ranging from deductions and production planning to finance, accounting, sales and operations.


Confido is growing rapidly with a small New York City team, giving new hires the opportunity to contribute directly to the product, culture and company.


The Role:

As an Applied AI Data Analyst, you will bridge large, unstructured financial and operational datasets with the company's core R&D team.


You will own the evaluation platform for agentic AI workflows and forecasting pipelines, while developing customer-facing insights that support important business decisions.


The role sits within the Applied AI Research department, with opportunities to progress into senior data science and AI/ML engineering roles.


What You'll Do:

Algorithm & LLM Evaluation: Analyze model predictions, edge cases, hallucination rates and extraction accuracy for LLM-powered document processing and agentic workflows.


Root Cause Analysis: Investigate complex financial and enterprise datasets to determine why extraction and time-series models succeed or fail.


Golden Dataset Curation: Build and maintain gold-standard datasets for automated AI-agent and forecasting-model evaluation.


Performance Monitoring & Evals: Build dashboards, data transformations and evaluation systems to monitor model performance, system health and model drift.


Cross-Functional Collaboration: Work with AI engineers, product managers and business operations teams to turn real-world problems into quantitative insights.


Required Qualifications:

Graduate degree — M.S. or Ph.D. — in Computer Science, Data Science, Statistics, Mathematics, Physics or a related STEM field.


2–4 years of experience in quantitative data analysis or AI evaluation.


Experience working with AI/ML R&D teams.


Strong Python skills and hands-on experience with AI/ML models.


Strong SQL and enterprise data infrastructure knowledge, including PostgreSQL, Snowflake, dbt and AWS.


Strong analytical ability to transform noisy, unstructured data into rigorous insights.


Nice to Have:

Experience with LLM observability, tracing and evaluation frameworks such as LangSmith, Arize AI or TruLens.


Experience with agentic workflows or multi-agent orchestration.


Knowledge of demand forecasting, time-series models or statistical modelling.


Experience working in a fast-moving, high-growth startup environment.


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Benefits:

Equity in the company.


Fully paid health insurance.


Dental and vision coverage.


Fertility and family-forming support.


12 weeks paid parental leave.


Unlimited PTO.


401(k).


Paid relocation support to New York City.


Fully equipped workspace.


$200 setup stipend.


Catered Friday lunches, team dinners, coffee and snacks.

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