Senior Data Scientist, Engine Infra

About the Role

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.

The Engine Infra team is responsible for the game-server fleet that simulates live experiences — making it efficient, observable, and reliable on Roblox edge infrastructure and regional cloud capacity, from multiplexing and ARM bursting through telemetry, resource allocation, and edge latency.

Responsibilities

• Define Metrics: Own Engine Infra metrics, telemetry logging, and validation for the RCC fleet and edge compute. Establish KPIs for game-server efficiency, reliability, and player experience — including CPU and memory, heartbeat, occupancy and multiplexing efficiency, crash and OOM rates, runtime error codes, and latency quality that directly affect creators and players.
• Transform & Visualize Data for Actionable Insights: Access and process raw RCC and engine telemetry, build analytics pipelines, and deliver clear operating views of the fleet. Turn per-instance, per-game, datacenter, and channel signals into dashboards and decision systems.
• Design Experiments & Apply Causal Inference: Lead channel tests, hardware A/Bs, and causal analyses for multiplexing, ARM64 bursting, regional capacity, and edge latency. Measure trade-offs among efficiency, stability, and quality, and estimate player-experience impact.
• Drive Cross-Functional Collaboration: Partner with Engine Infra, Game Engine, Networking, Matchmaking, Infrastructure, Product, and TPMs, and with teams such as Creator Analytics and Growth, to debug ambiguous production issues and identify new opportunities.
• Shape the Future of Roblox’s Foundation: Influence how Roblox runs live experiences on owned edge and cloud hardware toward larger, denser servers.

Qualifications

Required

• 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 and 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.
• Experience presenting deep technical results to Engineering leaders and using data storytelling to prioritize work and future investment.

Nice to Have

• Direct experience with game engines or systems performance.
• Experience in game development or working on real-time interactive systems.
• A background or interest in memory management, OS-level interactions, or network stack optimization.

Work Arrangement

Roles based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday.