Qualifications
What You’ll DoEstablish success metrics for agentic recruiting and HR systems, incorporating leading indicators for weekly iterations. Develop measurement and experimentation frameworks for continuous systems across all stages of the candidate and employee lifecycle, utilizing methodologies such as holdouts, staged rollouts, and quasi-experimental techniques as necessary. Collaborate with product managers and engineers to instrument, assess, and monitor launches, ensuring that every significant release is observable and provides a reliable evaluation of incremental value. Convert behavioral and model-driven insights into actionable decisions: determining what to scale, identifying intervention points, and allocating human and computational resources effectively across segments. Create repeatable decision-making loops (pre-launch criteria → post-launch evaluation → subsequent actions) that turn analysis into implemented changes.
About the job
About the Role
Join our dynamic team at OpenAI as a Data Scientist within the People Innovation Labs. This innovative engineering team is integrated into our People organization and is dedicated to redefining our strategies for attracting and retaining exceptional talent while empowering every individual to excel in their roles.
From enhancing recruitment processes to fostering a vibrant company culture, we are developing systems and products that provide our People Team with a competitive advantage by integrating OpenAI's models and first-principles thinking into all facets of our operations. Our initiatives range from pioneering projects like OpenHouse, our internal knowledge hub, to AI-driven automations and scalable recruiting solutions. We are shaping the future of work at OpenAI, crafting a model for how AI can enhance productivity, culture, and innovation.
In this role, you will collaborate closely with Product and Engineering teams to ensure that our endeavors yield measurable business results.
About OpenAI
OpenAI is at the forefront of artificial intelligence, dedicated to advancing digital intelligence in a manner that is safe and beneficial to humanity. We prioritize innovation, collaboration, and ethical practices, ensuring that our technology is used responsibly.