Applied AI Data Analyst (AI)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Location: New York, NY; in-person at the NYC office. Paid relocation support is available.
Salary: $180Kβ$240K annually, plus equity and bonus opportunities.
Company
provides AI infrastructure for consumer packaged goods brands, unifying finance, accounting, sales, and operations in one platform used by more than 200 brands.
What you will do
- Evaluate LLM-driven document processing systems and agentic workflows, including edge cases, hallucination rates, model predictions, and extraction accuracy.
- Perform root cause analysis on inconsistent financial documents, fragmented enterprise data, extraction failures, and time-series model performance.
- Define, curate, and maintain golden 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 convert real-world problems into quantitative product insights.
Requirements
- Graduate degree in computer science, data science, statistics, mathematics, physics, or a related STEM field.
- 2β4 years of experience in quantitative data analysis or AI evaluation alongside AI/ML research and development teams.
- Proficiency in Python and hands-on experience working with AI/ML models.
- Strong SQL and enterprise data infrastructure skills, including PostgreSQL, Snowflake, dbt, and AWS.
- Ability to translate noisy, unstructured document data into rigorous evaluation insights for engineers.
- Comfort working in person in New York City or relocating to the United States.
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.
- Familiarity with demand forecasting, time-series models, or statistical modeling.
- Experience in fast-moving, high-growth startup environments.
Culture & Benefits
- Equity and meaningful ownership in the company.
- Fully paid employee health coverage, plus dental and vision coverage.
- Carrot Fertility Pro and 12 weeks of paid parental leave.
- Unlimited PTO and regular four-day holiday weekends.
- 401(k), paid relocation support, and a fully equipped workspace with a $200 setup stipend.
- Catered Friday lunches, team dinners, unlimited coffee, and snacks from partner brands.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β