Senior Data Scientist, Game Engine Simulation
Listed on 2026-03-09
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IT/Tech
Data Analyst, Data Science Manager, AI Engineer, Machine Learning/ ML Engineer
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.
WHYGAME ENGINE AND DIGITAL MATTER
The Digital Matter team, within the Engine organization, powers Roblox’s Game Engine Simulation capabilities. Digital Matter sits at the core of how Roblox worlds are built, experienced, and brought to life. Spanning Physics, Geometry, Rendering, and Interactivity, this team defines the fundamental systems that govern how worlds behave, look, and respond – making balls bounce, light scatter, meshes stream, avatars move, and experiences feel immersive across every device.
As the Senior Data Scientist on this team, you will partner with engineers and product leaders to shape the technical foundation of the platform. Your work will directly influence how we simulate reality and empower creators to bend it – balancing physical realism with performance, scalability, and artistic control.
You will drive data-informed decisions across core engine systems, defining and evolving top-line metrics for performance, stability, visual quality, scalability, and user experience. Your impact will span the entire stack – from physics simulation and mesh streaming (SLIM), to rendering pipelines and input systems – ensuring that engine innovations translate into measurable improvements in creator capability and player experience. Collaborating closely with engineering, product, and leadership, you will evaluate the impact of foundational engine changes, uncover performance bottlenecks, guide prioritization through rigorous experimentation, and surface new opportunities through dashboards, deep analysis, and strategic experimentation.
In a team that builds the substrate of the platform, your work will help determine how the next generation of Roblox experiences looks, feels, and performs.
- Define Success Metrics for Digital Matter – Establish key performance indicators for Physics, Geometry, Rendering, and Interactivity, such as performance, latency, stability, memory usage, scalability, and quality metrics that directly impact creators and players.
- Drive Cross-Functional Collaboration – Partner closely with Engineering, Product, Technical Program Managers, and teams across Roblox (e.g., Creator tools, Growth, Infrastructure, and Economy) to explore new opportunities and navigate ambiguous problem spaces.
- Transform & Visualize Data for Actionable Insights – Access and process raw telemetry data, build robust analytics pipelines, and deliver clear insights through dashboards, reporting, and exploratory analysis using modern data tooling.
- Design Experiments & Apply Causal Inference – Lead A/B experiments and causal analyses to measure the impact of features, infrastructure improvements, and feature launches to ensure data-driven decision‑making.
- Shape the…
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