Senior/Principal Data Scientist

Who you are

• Education: Advanced degree (Master's 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
• Direct experience with game engines, audio/video products, or real-time interactive systems
• Background in real-time systems performance tuning or game development analytics

What the job involves

• 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
• 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