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Data Scientist, Analytics Enablement

OpenAI

Data Scientist, Analytics Enablement is a still-open role at OpenAI on Jobrow. Location: Hybrid · San Francisco · California · United States. Listed pay: $347k–$385k. Sourced from the company's public Ashby board. First seen 2 hours ago; last confirmed 2 hours ago. Apply on the employer ATS — Jobrow is not the employer.

Pay
$347k–$385k
Workplace
Hybrid
Location
San Francisco · California · United States
First seen
2 hours ago
Last seen
2 hours ago
Board
Ashby
Apply

About this role

ABOUT THE TEAM The Strategic Finance Data Science team helps OpenAI understand business performance and make informed decisions about growth, revenue, and resource allocation.

  • Seniority: mid
  • sql

Location & pay

Hybrid · San Francisco · California · United States Listed pay on Jobrow: $347k–$385k.

Source

Jobrow reads the public Ashby board for OpenAI. First seen 2 hours ago; last seen 2 hours ago. We are not the employer — apply only on the company ATS.

Posting

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 underlying data, and develop reusable analytical models and workflows that reduce manual effort. - Communicate findings clearly, align stakeholders on trade-offs, and follow through to understand whether the analysis or data product improved the decision. YOU MIGHT THRIVE IN THIS ROLE IF YOU - Have strong SQL and analytical data-modeling skills, and experience turning large, complex datasets into reliable analyses and reusable data products. - Can reason carefully ab

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