Data Scientist, Creator Success
Listed on 2025-11-20
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IT/Tech
Data Analyst, Data Scientist, Machine Learning/ ML Engineer, AI Engineer
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.
At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.
A career at Roblox means you’ll 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 ROBLOX?Every day, tens of millions of people from around the world come to Roblox to play, learn, work, and socialize in immersive digital experiences created by the community. Our vision is to build a platform that enables shared experiences among billions of users. This is what’s known as the metaverse: a persistent space where anyone can do just about anything they can imagine, from anywhere in the world and on any device.
Join us and you’ll usher in a new category of human interaction while solving exceptional challenges that you won’t find anywhere else.
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 toolbelt 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 creators.
WHYCREATOR DATA SCIENCE?
For a data scientist, the Roblox Creator ecosystem is a fascinating and complex system that provides an endless supply of deeply interesting and impactful problems. How to accurately quantify the impact of changes to our creation tools (think Roblox Studio) on the overall health of the platform? How to precisely value experiences and content? What kind of data insights can we provide to help Roblox excel in every genre and type of experience, from platform games to first-person-shooters?
A key mission for our creator group is to cultivate a diverse community of proficient creators, and help them mature into thriving businesses. As a data scientist, you will be a key partner to our product and engineering teams to shape the direction of this team. You’ll partner with data scientists, product managers, engineers and leaders across the company to better understand our creators and the resources that best support their success.
YouWill
- Build innovative and scalable data products and analyses to empower our creator community.
- Design experiments or causal studies to quantify impact from creator facing product feature launches.
- Define metrics to evaluate success and build dashboards to track progress.
- Influence how Roblox interacts with its players and its platform creators to accelerate creator velocity.
- Be a strategic thought partner that uses data and insights to drive growth.
- Provide technical mentorship and expertise that multiplies the contributions of data scientists across the org.
- Build, maintain, and scale reliable data pipelines and dashboards to ensure accurate and timely visibility into team metrics and platform health.
- Bachelor’s or equivalent degree in Statistics, Computer Science, Physics, Applied Math, Economics, Engineering or other related quantitative fields
- 3+ years of industry experience in Data Science and Analytics
- Experience developing a vision, roadmap, datasets, and tooling in a nascent area
- Knowledge of statistics fundamentals to support experimental design and causal analysis
- Experience with exploratory data analysis, data analysis to inform product design decisions,…
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