Senior Data Scientist - Machine Intelligence (Creator Services)

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 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 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.

WHY CREATOR SERVICES?

At Roblox, the Creator Services team enables unbounded creation through reliable core services and novel AI applications. As a Senior Data Scientist focused on Machine Intelligence, you will bridge the gap between high-tier engineering infrastructure and cutting-edge ML applications. You will be the primary strategic partner to product and engineering leadership, transforming unstructured data into actionable business insights and user-facing products.

This is a "zero-to-one" environment. You will be tasked with creating standards for entirely new data formats and building the analytical frameworks that define how machine learning drives creator success and platform sustainability.

You Will: 

• Lead ML-Driven Transformation: Act as the lead data partner to engineering and product leadership, shaping roadmaps for ML products by translating technical approaches into interpretable, movable metrics.


• Model Unstructured Data: Develop sophisticated ML models for unstructured data—including text, images, and video—to improve product measurement and external user experiences.


• Own data workflows end-to-end: Drive work from ideation through data collection, pipeline development, and modeling, to produce outputs that inform leadership decisionmaking.


• Design Causal Frameworks: Design complex experiments to quantify the impact of foundational service updates and AI-driven features on the broader Roblox ecosystem.


• Translate Technical Wins into Business Value: Bridge the gap between deep-tier engineering metrics and high-level business impact. Own the narrative that helps stakeholders understand how service improvement drives creator success and platform sustainability.

You Have:

• Advanced Academic Background: A BS, MSc, or PhD in Computer Science, Statistics, Applied Math, or a related quantitative field.


• ML Expertise: Proven experience in ML modeling on unstructured data (text, images, video) and the ability to turn these models into useful data products.


• Strategic Influence: A demonstrated ability to influence senior leaders through clear narratives and decision memos on complex technical topics.


• Comfort with Ambiguity: Experience in environments where no standard data formats exist


• NLP Knowledge: Familiarity with measuring translation quality and assessing feedback loops.


• Technical Mastery: Expert-level knowledge of statistics, A/B testing, and causal inference in complex, mediated settings


• Engineering Fluency: The ability to grasp complex system architectures, data flows, and high-throughput schemas.