Senior Data Scientist - Consumer Frontend

About Roblox

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. We are building the tools and platform that empower our community to bring any experience they can imagine to life.

About the Role

As a Senior Data Scientist in the Consumer Frontend organization, you will partner with engineers, product managers, designers, and leaders to shape the future of user navigation, discovery, and interaction across the Roblox app. This includes defining and evaluating foundational information architecture, navigation systems, and cross-surface user experiences, while contributing to measurement strategies for emerging AI-enabled workflows.

Responsibilities

• Define and measure the success of Roblox’s information architecture, navigation systems, and core user experiences, developing metrics that quantify navigation efficiency, information discoverability, user friction, and overall UX quality.
• Develop a deep understanding of user journeys, navigation behaviors, and user intent across the Roblox app to drive product strategy and UX improvements.
• Establish decision-making frameworks for evaluating trade-offs across user journeys, surfaces, and product objectives.
• Leverage experimentation, causal inference, and statistical modeling to evaluate platform-wide initiatives and cross-surface UX investments.
• Partner closely with Product, Engineering, Design, and Data Science leaders across Consumer Apps and adjacent organizations to influence strategy.
• Perform deep-dive analyses and build scalable measurement frameworks to monitor UX health, identify regressions, and make data-informed decisions at scale.

Qualifications

• Advanced degree in Statistics, Applied Mathematics, Physics, Engineering, Computer Science, Economics, or a related quantitative field.
• 5+ years of industry experience in Data Science or a related quantitative discipline, preferably in consumer-facing products or consumer applications.
• Strong analytical and technical skills, including experience working with large-scale datasets and proficiency in SQL and Python/R.
• Deep expertise in statistical analysis, causal inference, experimentation, and measurement methodologies.
• Demonstrated ability to independently drive ambiguous, high-impact problem spaces applying first-principles thinking.
• Experience partnering cross-functionally with Product, Engineering, Design, and leadership teams.
• Exceptional communication and storytelling skills.

Work Arrangement

Roles based in our San Mateo, CA headquarters are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday.