openai · San Francisco
Skills: Python, SQL
ABOUT THE TEAM The Strategic Finance Data Science team helps OpenAI understand business performance and make informed decisions about growth, revenue, and resource allocation. We partner with Strategic Finance, Data Engineering, and business teams to build trusted metrics, explain what is changing, and support forecasting, planning, pricing, and investment decisions. ABOUT THE ROLE We’re looking for a Data Scientist, Analytics Enablement to turn complex financial and business questions into reliable data products, clear analyses, and actionable recommendations. You will work across the analytical workflow: define the question, establish trustworthy metrics and datasets, investigate the drivers, and help partners act on the findings. This is a hands-on individual contributor role. You will combine the technical depth of analytics engineering with strong analytical judgment and close partnership with Strategic Finance. Your work will serve both executive reviews and the teams making day-to-day business decisions. IN THIS ROLE, YOU WILL - Define and maintain trusted metrics and analytical datasets for revenue, usage, customer performance, compute consumption, and margin, with clear definitions and appropriate product, customer, and cohort detail. - Build automated dashboards and recurring reporting that help Finance leaders and operating teams understand performance, spot changes, and prioritize investigation. - Explain movements in business results and variances against expectations by examining underlying drivers, validating data quality, and distinguishing evidence from assumptions. - Translate ambiguous questions about growth, retention, monetization, pricing, and resource efficiency into structured analyses and practical recommendations. - Partner with forecasting specialists and Finance to provide reliable inputs, driver analyses, and scenario assumptions for forecasts and long-range plans. - Work with Data Engineering to improve the quality and usability of unde…
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