People Data Scientist

About the Role

In this role, you will have the opportunity to apply your skills in a dynamic and innovative environment, working with cutting-edge technologies and collaborating with talented professionals. The company's hybrid work model, with 3 days in the office per week, offers a unique blend of collaboration and flexibility. Openai is committed to creating a safe and inclusive work environment, valuing diversity and promoting equal opportunities for all employees.

What You Will Do

• Design rigorous research and evaluation strategies for organizational health, manager effectiveness, employee experience, and talent outcomes
• Conduct fairness, adverse impact, validity, reliability, calibration, and measurement-invariance analyses for high-stakes People processes and AI-assisted workflows
• Apply advanced statistical modeling, machine learning, and research methods to inform program design, evaluate effectiveness, and quantify business impact
• Partner with People Operations, data engineering, and people systems teams to define data requirements, improve data quality, establish documentation standards, and ensure research datasets are governed, reproducible, and privacy-preserving
• Build scalable people science infrastructure, including self-service agentic tools, automated validation workflows, reusable research datasets, and analytical pipelines
• Develop research playbooks that establish rigorous standards for study design, measurement, validation, and documentation, enabling high-quality, repeatable, and scalable research across the organization
• Communicate findings through concise, executive-ready narratives
• Collaborate with cross-functional teams to integrate research insights into product development and business decision-making
• Stay up-to-date with industry trends, research, and best practices in people analytics and data science

What We Are Looking For

• Deep curiosity, strong attention to detail, and passion for solving ambiguous and complex problems with creativity
• Exceptional strength in research design, experimentation, measurement, causal inference, and statistical modeling, including hands-on experience with psychometrics, survey methodology, structural equation modeling, multilevel modeling, randomized controlled experiments, A/B testing, quasi-experimental design, validation studies, and machine learning evaluation
• High proficiency in R or Python and SQL, with experience working across complex, messy datasets
• Experience building measurement systems, research programs, data products, reusable analytics frameworks, self-service tools, and governed analytical workflows
• Ability to communicate complex methods and tradeoffs clearly to senior leaders, technical partners, and non-technical audiences
• Experience working in a fast-paced, dynamic environment, with a focus on collaboration, innovation, and continuous learning
• Strong understanding of organizational development, HR, and people analytics principles

Nice to Have

• Experience evaluating AI-assisted workflows, algorithmic systems, and human-AI decision processes in operational contexts, including familiarity with model evaluation methods
• Advanced degree in Industrial-Organizational Psychology, Organizational Behavior, Quantitative Psychology, Behavioral Economics, Statistics, Economics, Data Science, or a related field; PhD preferred
• Experience working with cloud-based data platforms, such as AWS or GCP
• Familiarity with data visualization tools, such as Tableau or Power BI

Benefits and Perks

• Competitive salary and benefits package
• Opportunity to work with a cutting-edge AI research company
• Collaborative, dynamic work environment with a focus on innovation and continuous learning
• Flexible hybrid work model, with 3 days in the office per week
• Access to cutting-edge technologies and tools
• Professional development opportunities, including training and conference sponsorships
• Comprehensive health insurance, including medical, dental, and vision
• Generous PTO and holiday policy
• Parental leave and family-friendly benefits

• Develop a strong portfolio showcasing your research design, experimentation, and statistical modeling skills, with a focus on people analytics and data science applications
• Be prepared to communicate complex technical concepts to non-technical audiences, including senior leaders and cross-functional teams
• Familiarize yourself with Openai's products and services, as well as the company's commitment to safety and human-centric AI
• Highlight your experience working with complex datasets, AI-assisted workflows, and cloud-based data platforms
• Emphasize your ability to work collaboratively in a fast-paced, dynamic environment, with a focus on innovation and continuous learning
• Research the company's culture and values, and be prepared to discuss how your own values and approach align with Openai's mission and vision