В OpenAI это чётко очерченная senior-роль в стратегической аналитике для быстро развивающегося AI-бизнеса, с взаимодействием между командами и понятной зоной ответственности.
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Выше рынкаСфера ИИПонятные задачиСовременный стек
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Data Scientist, Analytics Enablement (Financial Analytics/AI): Building trusted metrics, analytical datasets, dashboards, and reusable data products for revenue, usage, customer performance, compute consumption, and margin with an accent on data quality, business drivers, and forecasting inputs. Focus on translating ambiguous growth and finance questions into structured analyses, investigating variances, and improving decisions through close partnership with Finance and Data Engineering.
Location: San Francisco, United States; hybrid workplace
Salary: $347K–$385K plus equity
Company
OpenAI is an AI research and deployment company developing general-purpose artificial intelligence and working to deploy it safely for broad human benefit.
What you will do
Define and maintain trusted metrics and analytical datasets covering revenue, usage, customer performance, compute consumption, and margin.
Build automated dashboards and recurring reporting for Finance leaders and operating teams.
Investigate business-result movements and variances by validating data quality and identifying underlying drivers.
Translate questions about growth, retention, monetization, pricing, and resource efficiency into analyses and recommendations.
Provide driver analyses and scenario assumptions for forecasting and long-range planning.
Partner with Data Engineering to improve data quality and develop reusable analytical models and workflows.
Requirements
Strong SQL and analytical data-modeling skills, with experience turning large, complex datasets into reliable analyses and reusable data products.
Ability to reason about metrics, cohorts, denominators, measurement changes, and uncertainty, and distinguish business changes from data issues.
Experience building dashboards or recurring reporting used by business partners and explaining the decisions they enabled.
Sound business judgment and ability to independently scope ambiguous problems, prioritize work, and deliver end-to-end solutions.
Clear communication of technical findings and effective collaboration with Finance, data scientists, engineers, and other business partners.
Ability to use Python or a comparable analytical tool to investigate data and automate repetitive work.
Culture & Benefits
Hands-on individual contributor role supporting both executive reviews and day-to-day business decisions.
Close collaboration with Strategic Finance, Data Engineering, and business teams.
Equity included in the compensation package.
Equal opportunity employer committed to reasonable accommodations and legally compliant background-check practices.
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