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5 часов Π½Π°Π·Π°Π΄

Applied AI Data Analyst (AI)

180Β 000 - 240Β 000$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
onsite
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
middle
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
РСлокация
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
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TL;DR
Applied AI Data Analyst (AI): Building evaluation platforms, golden datasets, dashboards, and performance monitoring for LLM-driven document processing systems, agentic workflows, and demand forecasting pipelines with an accent on root cause analysis, model evaluation, and unstructured financial data. Focus on analyzing hallucination rates and extraction accuracy, curating rigorous backtesting datasets, and translating operational data into product-defining insights for AI engineers and business teams.

Location: New York, NY; in-person at the NYC office. Paid relocation support is available.

Salary: $180K–$240K annually, plus equity and bonus opportunities.

Company

hirify.global 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.
  • 2–4 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.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’