Senior Data Scientist - Machine Intelligence (Creator Services)

Roblox•San Mateo, CA

10h•$221,380 - $263,670•Hybrid

About The Position

Roblox is a platform where tens of millions of people explore, create, play, learn, and connect in 3D immersive digital experiences, all created by a global community of developers and creators. The company aims to build tools and a platform that empower its community to bring any imagined experience to life, with a vision to reimagine human interaction globally and on any device. Roblox is on a mission to connect a billion people with optimism and civility, offering careers that shape the future of human interaction, solve unique technical challenges at scale, and create safer, more civil shared experiences. The Data Science & Analytics organization's mission is to enhance decision-making speed, frequency, and acumen by fostering a data-influenced approach to product development. This organization covers analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning, partnering with product verticals to discover opportunities, influence roadmaps, build data products, and measure impact. The Creator Services team at Roblox enables unbounded creation through reliable core services and novel AI applications. As a Senior Data Scientist focused on Machine Intelligence, this role bridges high-tier engineering infrastructure and cutting-edge ML applications, acting as the primary strategic partner to product and engineering leadership to transform unstructured data into actionable business insights and user-facing products. This is a "zero-to-one" environment, requiring the creation of standards for new data formats and analytical frameworks to define how machine learning drives creator success and platform sustainability.

Requirements

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.

Responsibilities

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.