Principal Data Scientist - Engine Systems

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 CORE ENGINE?

The Core Engine team is missioned to build world-class elastic game engine technology that powers engaging experiences. We build the core technology that powers our 3D worlds including rendering, simulation, networking and systems. As a Senior Data Scientist, you'll partner with engineers, data scientists, technical program managers, and leaders across the company in our efforts to improve the quality and performance of our game engine and the user generated content that runs on top of it. Your work will touch every part of the engine, from threading and memory management to physics and scripting. You will define top line metrics and measure the impact of critical features and improvements, while discovering areas of opportunity through dashboards, analysis and A / B experiments. You will report directly to the Data Science Leader overseeing our Core Engine / Creator DSA team.

You Will :

• Establish success metrics for Engine Systems performance e.g. what systems performance metrics matter to the end-users? How are Engine performance affecting user engagement and monetization?
• Operationalize and scale metrics monitoring. Build dashboards that enable quick slice and dice as well as root cause analysis. Work with engineers to detect and investigate abnormal trends. Identify opportunities to improve.
• Understand how networking, rendering, simulation and more help build a fast, scalable and engaging experience through the game engine. Apply dynamic approaches to improve user experience from the Engine perspective by controlling these factors.
• Navigate uncharted areas and collaborate with partners across different organizations including Engine, Growth, and Creator teams.
• 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.
• Use A / B experiments and causal inference to determine success of product feature launches.
• Influence how Roblox provides a better experience for the community of players and developers.

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