Data Scientist - Inference & GPU Capacity Optimization

OpenAI; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

OpenAI is seeking a Data Scientist to partner with Capacity Systems Engineering, Infrastructure, Product, and Research to optimize inference capacity across our global GPU fleet. You will build forecasting models, analyze workloads, and design experiments to drive infrastructure investments and performance efficiency while communicating insights to executives.

Ideal candidates bring 5+ years in infrastructure data science, strong Python/SQL skills, and a track record of translating complex data

Qualifications

• MS or PhD in Statistics, Computer Science, Operations Research, Applied Mathematics, Economics, or related quantitative discipline (or equivalent industry experience).
• 5+ years of experience working in the infrastructure data science space.
• Strong expertise in Python and SQL.
• Experience building forecasting, optimization, or predictive models.
• Strong understanding of experimentation, statistical inference, and causal analysis.
• Experience communicating analytical insights to executive stakeholders.

Responsibilities

• Build statistical and machine learning models to profile and improve GPU utilization, latency, throughput, and overall fleet efficiency.
• Develop forecasting models for inference demand across products, regions, and model families.
• Analyze production workloads to identify latency bottlenecks and capacity constraints, highlighting optimization opportunities.
• Partner with Capacity Systems Engineering to inform infrastructure planning and long-term GPU investment strategies.
• Design experiments and simulations to evaluate scheduling policies, serving strategies, and infrastructure tradeoffs.
• Build dashboards and operational metrics that enable leadership to make data-driven capacity decisions.
• Collaborate with Product, Research, Finance, and Infrastructure teams to align compute planning with business growth and model roadmaps.
• Communicate technical findings clearly to both engineering teams and executive leadership.

Skills

Forecasting

Experimental design

Communication with executives

Education

MS or PhD in Statistics, Computer Science, Operations Research, Applied Mathematics, Economics, or related quantitative discipline

Tools

Python

SQL

Job description

OpenAI is seeking a Data Scientist to partner with Capacity Systems Engineering, Infrastructure, Product, and Research to optimize inference capacity across our global GPU fleet. You will build forecasting models, analyze workloads, and design experiments to drive infrastructure investments and performance efficiency while communicating insights to executives.

Ideal candidates bring 5+ years in infrastructure data science, strong Python/SQL skills, and a track record of translating complex data