Staff Data Scientist: Core Experimentation Platform

Neura Market; Seattle (WA); Hybrid; USD 293,000 - 325,000; Full time

Job summary

OpenAI in Bellevue is hiring a Staff‑level Data Scientist to lead evolution of the core experimentation platform. You will improve statistical rigor and reliability across the company, focusing on challenging online experimentation problems and scalable systems.

This highly technical IC role influences methodology, platform architecture, and best practices, requiring deep statistical expertise, systems intuition, and hands-on experience with large-scale experimentation environments.

Qualifications

• Experience building, scaling, or operating experimentation platforms at a large technology company.
• Strong knowledge of statistics and experimental methodology.
• Ability to translate complex statistical concepts into pragmatic systems.

Responsibilities

• Drive the statistical direction and technical strategy for OpenAI’s experimentation platform.
• Design and improve experimentation methodologies used across product and research teams.
• Build pragmatic solutions to real-world experimentation challenges balancing rigour with operational simplicity.
• Improve reliability and trustworthiness of results, including bias detection and data quality.
• Develop scalable analytical systems and pipelines in Python and distributed compute environments.
• Partner with engineers and product teams to improve experiment design and metric quality.
• Lead investigations into complex experimentation anomalies and measurement failures.
• Establish best practices for experimentation governance and interpretation.
• Mentor data scientists and raise the technical bar for experimentation and causal inference.

Skills

Statistics

Causal inference

Online experimentation

Python

Spark

Data modeling

Technical leadership

Experimentation platforms

Job description

OpenAI in Bellevue is hiring a Staff‑level Data Scientist to lead evolution of the core experimentation platform. You will improve statistical rigor and reliability across the company, focusing on challenging online experimentation problems and scalable systems.

This highly technical IC role influences methodology, platform architecture, and best practices, requiring deep statistical expertise, systems intuition, and hands-on experience with large-scale experimentation environments.