A career at Roblox means you9ll 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 organization9s 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 AUDIO-VIDEO-COMMUNICATION (AVC) TEAM?- Audio: We power all sound in the Roblox engine-from core audio infrastructure and physical sound simulation to developer APIs that drive immersive soundscapes.
- Video: We handle video end-to-end-including UGC, brand and ad uploads, transcoding, playback, Roblox Moments capture, face-tracking camera interfaces, discovery previews, and media safety/CSAM detection.
- Communications: We build and maintain high-reliability services that power real-time voice communication across in-game experiences and party systems.
You Will:- Define Metrics & Telemetry: Partner with engineering to design, log, and validate high-frequency telemetry. Establish KPIs for AVC products that directly impact creators and players.
- Transform & Visualize Data for Actionable Insights: Access raw system telemetry, build robust analytics pipelines, and deliver insights that directly optimize engine performance and media delivery.
- Design Experiments & Causal Analyses: Lead A/B testing and causal inference to evaluate product quality tradeoffs, validate feature launches, and shape data-driven product decisions.
- Drive Cross-Functional Collaboration: Partner closely with Engineering, Product, TPMs, and partner teams (Creator, Social, Growth, Infrastructure, etc.) to navigate ambiguous problem spaces.
- Shape Platform Architecture: Directly influence how core AVC systems evolve to deliver a scalable, high-performance platform for creators and players worldwide.
You Have:- Education: Advanced degree (Master9s or Ph.D.) in Computer Science, Statistics, Engineering, or a related quantitative field with a focus on system analysis (or equivalent practical experience).
- Experience: 6+ years as a Data Scientist with a proven track record working on high-volume telemetry and system performance optimization.
- Data Engineering at Scale: Deep expertise processing massive, noisy datasets (e.g., crash logs, telemetry pings) and building scalable reporting pipelines.
- Problem-Solving: Proven ability to use first-principles reasoning to debug complex, ambiguous system behavior.
- Technical Communication: Experience translating deep technical results for engineering leaders and using data storytelling to guide strategic investments.
Nice to Have:- Direct experience with game engines, audio/video products, or real-time interactive systems.
- Background in real-time systems performance tuning or game development analytics.
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For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on
this page.
Annual Salary Range
$307,430-$373,680 USD
Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
