- Pay
- $126,260–$162,000/yr
- Where
- San Mateo, CA, United States
- Posted
- Aug 22
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.
At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.
A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
The People Science & Analytics team at Roblox supports our People, Places, & Systems group in optimizing the talent li…
What you'd do
- Contribute to applied research. Support projects focused on job analysis, assessment design, employee experience, and organizational effectiveness.
- Assist in data collection and preparation. Gather, organize, and clean data from surveys, interviews, and other sources to ensure high-quality research inputs.
- Support qualitative research activities. Help run or document interviews, focus groups, and think-aloud sessions; code and summarize open-ended responses using structured rubrics.
- Help evaluate and improve tools. Contribute to the review and validation of people-related tools and processes, including assessments, surveys, and pilot programs.
- Summarize research and evidence. Locate relevant academic or applied research, synthesize findings, and create concise summaries to support project design.
- Collaborate across teams. Partner with People Scientists, engineers, and data specialists to ensure research and program efforts are well-executed.
- Learn and grow. Build hands-on experience applying behavioral and social science in a dynamic, high-impact technology environment.
- Design and deploy data-driven learning programs and technical content. Create structured learning experiences that address specific competency gaps and organizational needs.
- Optimize learner engagement. Leverage behavioral science principles to improve knowledge retention and the effectiveness of development initiatives.
- Analyze learning outcomes and platform analytics. Use data to iterate on curriculum design and evaluate overall training effectiveness.