Roblox is a global platform where millions of people gather together every day to imagine, create, and share experiences with each other in immersive, user-generated 3D worlds. Backed by Greylock, a16z and Index.
About the role
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. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
What they're looking for
- Advanced degree in Computer Science, Statistics, Engineering, or a related field with a focus on large-scale system analysis
- 4+ years as a Data Scientist, with a proven track record of working on high-volume telemetry, product quality optimization
- Expertise in processing massive, noisy datasets (like crash logs or telemetry pings) and building scalable pipelines for reporting
- Experience using first-principles reasoning to debug complex, ambiguous system failures that don't always have a clear cause
- Experience presenting deep technical results to Engineering leaders and using data storytelling to prioritize work and future investment
More about this role
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 Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we...
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