# Data Scientist, Analytics Enablement

**Company**: OpenAI
**Location**: San Francisco, California
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $347K - $385K
**Category**: Data Science
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q124605186

**Apply**: https://jobs.ashbyhq.com/openai/5ceff3dd-3503-4ea0-9ade-eeb36b29f14e?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_527dec05-d85

## Description

We are seeking a Data Scientist, Analytics Enablement to join our Strategic Finance Data Science team at OpenAI. The successful candidate will turn complex financial and business questions into reliable data products, clear analyses, and actionable recommendations.

Responsibilities:

- Define and maintain trusted metrics and analytical datasets for revenue, usage, customer performance, compute consumption, and margin.

- Build automated dashboards and recurring reporting to help Finance leaders and operating teams understand performance.

- Explain movements in business results and variances against expectations.

- 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.

- Communicate findings clearly and follow through to understand whether the analysis or data product improved the decision.

Requirements:

- Strong SQL and analytical data-modeling skills.

- Experience turning large, complex datasets into reliable analyses and reusable data products.

- Ability to reason carefully about metrics, cohorts, denominators, measurement changes, and uncertainty.

- Experience building dashboards or recurring reporting used by business partners.

- Sound business judgment and ability to independently scope an ambiguous problem.

- Ability to communicate technical findings clearly and work effectively with Finance, data scientists, engineers, and other business partners.

- Proficiency in Python or a comparable analytical tool.

## Skills

### Required
- SQL
- analytical data-modeling
- Python

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