Senior Data Scientist (Engine Infrastructure)

Roblox; San Mateo (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Roblox is seeking a Data Scientist to expand the Data Science & Analytics organization’s impact by turning telemetry and game-server data into actionable insights. You will design experiments, apply causal inference, and build scalable pipelines to optimize player and developer experiences across RCC fleets and edge compute.

The role emphasizes cross-functional collaboration with Engine Infra, Game Engine, Networking, and Product teams, with a focus on performance, reliability, and data-informed

Qualifications

• Advanced degree in CS, Statistics, Engineering, or a related field.
• 4+ years as a Data Scientist with high-volume telemetry.
• Experience turning telemetry into scalable pipelines and dashboards.
• Expertise in memory management, OS interactions, or network stack is a plus.
• Experience with game engines or real-time interactive systems.

Responsibilities

• Define Metrics — Own Engine Infra metrics, telemetry logging, and validation for the RCC fleet and edge compute.
• 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.
• Design Experiments & Apply Causal Inference — Lead channel tests, hardware A/Bs, and causal analyses for multiplexing, ARM64 bursting, regional capacity, and edge latency.
• Drive Cross-Functional Collaboration — Partner with Engine Infra, Game Engine, Networking, Matchmaking, Infrastructure, Product, and TPMs.
• Shape the Future of Roblox’s Foundation — Influence how Roblox runs live experiences on owned edge and cloud hardware.

Skills

Data storytelling

Telemetry analysis

Data visualization

Experimentation

Causal inference

Statistical modeling

Education

Advanced degree required

Tools

Python

SQL

Spark

Job description

• 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
• 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
• 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 (e.g. DataPing vs RakPing) 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 that help Engine Infra pack more players onto fewer cores, allocate CPU and memory correctly, and keep multiplexed and large-server processes healthy
• 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; separate host, container, engine, content, and release effects; and estimate player-experience impact (including latency-sensitive cohorts, not only global averages) so launches ship on evidence
• 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 open new capacity and quality opportunities
• Shape the Future of Roblox’s Foundation — Influence how Roblox runs live experiences on owned edge and cloud hardware — a more efficient RCC fleet, better regional capacity, lower edge latency, and a platform that stays interactive as we scale toward larger, denser servers

Experience presenting deep technical results to Engineering leaders and using data storytelling to prioritize work and future investmentAdvanced degree in Computer Science, Statistics, Engineering, or a related field with a focus on large-scale system analysis4+ years as a Data Scientist, with a proven track record of working on high-volume telemetry, product quality optimizationExperience using first-principles reasoning to debug complex, ambiguous system failures that don’t always have a clear causeExpertise in processing massive, noisy datasets (like crash logs or telemetry pings) and building scalable pipelines for reportingDirect experience with game engines or systems performanceExperience in game development or working on real-time interactive systemsA background or interest in memory management, OS-level interactions, or network stack optimization