Senior People Scientist

The People Science & Analytics team at Roblox supports our People, Places, & Systems group in optimizing the talent lifecycle, encompassing talent identification, data-driven competency development, and the scientific management of learning, development, and well-being throughout their tenure with our company.

Our team works to deliver a wide range of insights and solutions for Roblox, from developing industry-leading hiring assessments and conducting job analysis to performing both quantitative and qualitative workforce research, as well as architecting data analytics systems and tools. Reporting to the People Scientist Manager within People Science and Analytics, you'll join a team of expert people and data scientists. Your role involves harnessing qualitative and quantitative data to inform leadership strategies, people development, and the shaping of our organizational design and culture.

Reporting to the People Scientist Manager, People Science and Analytics, in this role you will join a world-class group of people, learning, and data scientists who are focused on collecting and using qualitative and quantitative data to guide decisions and to design and support Roblox's approach to leadership, people development, and organizational design and culture.

This role is based onsite at our HQ in San Mateo, CA.

You Will:

• Direct the scientific dimensions of projects, working with a multidisciplinary team of scientists, software engineers, game designers, and cross-functional groups to implement advanced, science-based, and data-driven solutions addressing a broad spectrum of recruiting and HR challenges.
• Partner with subject matter experts across the organization to shape team structures and work processes, boosting innovation and operational efficiency through data analysis and evidence-based decision-making.
• Develop and execute strategies to monitor, evaluate, and enhance workforce performance, incorporating continuous feedback loops and supporting skill development in the tech industry.
• Develop and implement strategies to monitor, evaluate, and improve workforce performance, explicitly linking feedback mechanisms with employee development practices. This includes integrating skill development initiatives across the employee population with performance appraisal systems to ensure a holistic approach to talent management in the tech industry.
• Work with team members to design and implement strategies for team and process optimization, focusing on organizational change and promoting a culture of continuous improvement.
• Contribute to the design and development of assessments using test principles to evaluate and enhance talent acquisition and development processes.
• Oversee research studies employing modern methods to assess workplace program effectiveness and contribute to the analysis of surveys for insights into employee experiences, engagement, and satisfaction.
• Communicate complex data analyses to internal stakeholders, providing actionable insights to inform company efforts, policies, and decisions.

You Have:

• PhD in Industrial-Organizational Psychology, Organizational Behavior, Human Resource Management, or related field.
• 4+ years of post-degree industry experience in applied research, demonstrating a broad expertise in industrial-organizational psychology.
• Expertise across a wide range of industrial-organizational disciplines, with proven experience in their effective application to enhance organizational performance, talent management, and employee development.
• A solid background in applying psychological principles (e.g., theories, research methods, measurement strategies) to organizational challenges, with a keen interest in continuous learning to improve the organization.
• Curiosity and drive to learn new techniques and tools to improve the organization.
• A passion for using data to help make informed decisions and guide strategy.
• A history of working with non-technical cross-functional partners while upholding scientific rigor, to present analyses and engage in meaningful discussions with partners.