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.

WHY INFRA FOUNDATION?

Our company goal is to reach 1 Billion users with optimism and civility, and you can’t reach 1B users without building some scalable systems. As the first Data Scientist in the Infrastructure organization, you will play a critical role in helping scale our platform toward the goal.

You Are:

• Passionate about data. You have the curiosity to find new techniques and tools to extract value from data. You have a degree in Statistics, Economics, Computer Science, Operations Research or other relevant fields.
• Excellent speaker and listener. You understand that analysis must be presented in meaningful ways and lead spirited discussions about the findings. You can explain technical concepts to non-technical audiences and discuss appropriate tradeoffs.
• An expert in data transformation and programming, using languages such as Python, R, and SQL. You are experienced in automating efforts and crunching massive volumes of data using big data frameworks such as Spark, Hadoop or Flink.
• An expert in data and applied methodologies. You understand the value of characterizing data by its distribution. Covariance, Bias, and Conditional Probability are concepts that you rely on every day. You use the latest techniques to extract value and lead insights for Infra topics. Can develop models to draw insights from data.

You Will:

• Measure, analyze and forecast Roblox’s infrastructure capacity, footprint and resource utilization, for both on-premise data centers and public cloud.
• Develop an understanding of Roblox’s Infrastructure cost-to-serve including areas such as CDN, networking, Software
• Closely collaborate with Finance FP&A and key stakeholders across Roblox to help teams understand, plan and manage their costs.
• Apply data-driven analysis to identify infrastructure efficiency programs to improve overall Roblox infrastructure footprint.
• Build smart alerting algorithms and automate root cause detection as much as possible.
• Access raw data, and then transform it, analyze it, and render it in a compelling way--all using a custom analytics tool kit built from state-of-the-art open-source libraries.
• Report to the Senior Manager, Roblox Data Science & Analytics.

You have:

• Advanced Degree and/or PhD in Statistics, Computer Science, Physics, Applied Math, Economics, Engineering or other related quantitative fields
• 5+ years of relevant industry experience with a background in infrastructure cost-to-serve, capacity planning, etc.
• Strong data engineering experience. e.g. telemetry logging, data pipeline building, dashboard design
• Demonstrated ability to drive an area as an individual contributor
• Ability to apply creative first-principles reasoning to solve ambiguous problems
• Skills in analytics results and data storytelling to influence engineering teams and leaders