Senior Data Scientist, Engine Systems
RobloxSan Mateo, CA, United StatesPosted 28 April 2026
Tech Stack
Job Description
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.
WHY DATA SCIENCE ANALYTICS?
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 use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers.
WHY ENGINE Systems?
Engine Systems team builds the foundational systems for networking, servers, asset loading, and data management, all working in harmony to deliver stable and engaging experiences.
This role will focus on the System foundation that provides low level technology to enable efficient development of Roblox itself and the games within it. We build profiling support, concurrency, memory management, scalability systems, and crash reporting. We manage the user experience in real-time and monitors device constraints (like a low-end phone vs. a high-end PC) and adjust graphics and performance on the fly.
You Will:
Define Reliability Stability Metrics – Work on system metrics telemetry logging and validation. Establish key performance indicators for Engine systems such as crash rates, runtime error codes, and quality metrics that directly impact creators and players.
Transform Visualize Data for Actionable Insights – Access and process raw telemetry data, build robust analytics pipelines and deliver clear insights. Help develop solutions that allow the Engine to intelligently scale quality up or down, ensuring that every player—regardless of their hardware—has a smooth, interactive, and immersive experience.
Design Experiments Apply Causal Inference – Lead A/B experiments and causal analyses to identify performance opportunities, understand the trade-offs between system stability and other quality factors, measure improvements and feature launches to ensure data-driven decision-making.
Drive Cross-Functional Collaboration – Partner closely with Engineering, Product, Technical Program Managers, and teams across Roblox (e.g., Creator Analytics, Growth, Infrastructure, and Economy) to explore new opportunities and navigate ambiguous problem spaces.
Shape the Future of Roblox’s Foundation – Influence how Engine systems evolve, help deliver a scalable, high-performance, and creator-empowering platform.
You Have:
Advanced degree or equivalent experience
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 ... (truncated, view full listing at source)
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