В OpenAI чётко очерчена роль старшего специалиста по анализу данных с измеримым влиянием на бизнес, заметной самостоятельностью и прямой связью с развитием одного из ведущих AI-продуктов.
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Оплата выше рынкаПонятные задачиСовременный стекСфера AIСильный пакет льгот
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Data Scientist (AI/cloud platforms): Analyzing provider usage reports, billing records, and API logs to explain growth, forecast consumption, and guide customer and workload investments with an accent on usage attribution, commercial analytics, and customer adoption. Focus on tracing API activity, evaluating experiments and observational comparisons, connecting reliability and capacity to adoption, and improving forecasts against actual usage.
Location: Hybrid in San Francisco or Seattle, United States.
Salary: $347,000–$445,000 per year, plus equity and eligible performance-related bonuses.
Company
OpenAI is an AI research and deployment company developing and deploying general-purpose artificial intelligence products.
What you will do
Build a reliable view of the business from provider usage reports, billing records, and API logs, explaining growth from new workloads, expansion, pricing changes, and model mix.
Estimate the demand added by cloud distribution and distinguish new use cases from traffic shifted from the direct API.
Identify customers ready to scale by combining account-team insights with request failures, latency, and model-availability data.
Work with Product and Engineering on changes and measure their impact on usage.
Shape growth plans with Go-to-Market and Finance, estimate workload and launch contributions, and recommend provider investments.
Own the consumption forecast, explain forecast variances, and improve future forecasts.
Requirements
Experience independently leading data science work on a product, growth, or commercial question that changed a business decision.
Strong SQL and Python skills, including joining incomplete datasets, selecting the right unit of analysis, and validating aggregate results against individual customers or workloads.
Experience using cohorts, experiments, or observational comparisons to assess what drove a change.
Ability to explain how customer selection affects conclusions and evaluate a forecast against a simple baseline.
Ability to make recommendations with incomplete information and communicate evidence and decision criteria to sales and engineering stakeholders.
Nice to have
Experience with API platforms, cloud marketplaces, enterprise Go-to-Market, or usage-based businesses.
Experience connecting service reliability or capacity to customer adoption, or using demand forecasts to guide commercial or infrastructure investments.
Culture & Benefits
Hybrid work arrangement with daily meals in offices and eligible meal-delivery credits.
Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
401(k) retirement plan with employer match, paid parental, medical, caregiver, sick, and safe leave.
Flexible paid time off for exempt employees, up to 15 days annually for non-exempt employees, and 13+ paid company holidays.
Mental health and wellness support, employer-paid basic life and disability coverage, and an annual learning and development stipend.
Relocation support is available for eligible employees; the role is at-will.
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