# Data Scientist, Infrastructure

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA
**Role:** Data Science
**Salary:** $230K-$385K
**Experience:** 5+ years
**Skills:** SQL, Python, Forecasting Models, Optimization Models, Dashboards, Metrics, NLP, LLMs, Generative AI, Simulations
**Posted:** 2025-07-22

> Data Scientist shapes infrastructure scaling for OpenAI's AI models and products by building datasets, metrics, forecasting/optimization models, and dashboards. Partners with engineering, research, and product teams; requires 5+ years experience, SQL/Python expertise.

## Job Description

## Responsibilities
- Build and maintain foundational datasets and metrics that reflect infrastructure usage, efficiency, and scaling.
- Develop forecasting and optimization models to support infra planning and resource allocation.
- Partner with engineering, research, and product teams to shape infrastructure strategy through data.
- Drive clarity with source-of-truth dashboards and analyses that guide infra decisions across OpenAI.

## Requirements
- 5+ years of experience in a quantitative role navigating ambiguous environments, ideally in infrastructure, systems, or platform domains at a high-growth company or research org.
- Experience defining and operationalizing metrics that reflect system performance, resource usage, or efficiency from the ground up.
- Strong foundation in **SQL** and **Python**, and a track record of building models and analyses that drive technical and strategic decisions.
- Excellent communication skills and the ability to partner effectively with engineers, researchers, and product stakeholders.
- Strategic mindset that goes beyond statistical testing to surface actionable insights and long-term tradeoffs.

## Nice-to-Haves
- Proven track record of operating as a data partner in large scale backend systems.
- Comfortable navigating fast-paced execution while also anchoring decisions in long-term impact.
- Strong programming background, with ability to run simulations and prototype variants.
- Experience in NLP, large language models, or generative AI.

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