Senior Data Scientist - Consumer Frontend

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 groups, we use this vast tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure the impact on our community of players and developers.

WHY CONSUMER FRONTEND?

Consumer Frontend’s team mission is to deliver the frontend architecture, components, libraries, navigation patterns, and core UI necessary for a high-quality, performant, intuitive, and observable consumer user experience for gaming and all future use cases. One of the focus areas is UX Excellence through Standardization, where the goal is to maintain a comprehensive library of high-quality components and navigation patterns that ensure a consistent and intuitive experience across all consumer surfaces.

As a Data Scientist on the team, you will partner with engineers, product managers, designers, and leaders across the company to shape the future of user navigation, discovery, and interaction across the Roblox app. This includes helping define and evaluate foundational information architecture, navigation systems, and cross-surface user experiences, while also contributing to the measurement strategy for emerging AI-enabled workflows that accelerate how user experiences are designed, built, tested, and iterated.

This area is pivotal to Roblox’s long-term success, directly impacting user engagement, retention, and the overall quality of the consumer experience. You will define KPIs and measurement frameworks for navigation efficiency, content discoverability, user friction, and UX quality, and leverage analytics, experimentation, and statistical rigor to influence product decisions and drive continuous improvements to the usability and effectiveness of the Roblox app.

You Will:

• Define and measure the success of Roblox’s information architecture, navigation systems, and core user experiences. Develop metrics and frameworks 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. Identify opportunities to improve how users discover content, navigate between surfaces, and accomplish their goals, and translate those insights into product strategy and UX improvements.
• Establish decision-making frameworks for evaluating trade-offs across user journeys, surfaces, and product objectives. Help teams understand the downstream effects of navigation and information architecture changes, balancing local optimizations with the health and effectiveness of the broader consumer experience.
• Leverage experimentation, causal inference, and statistical modeling to evaluate platform-wide initiatives and cross-surface UX investments. Design rigorous approaches to measurement in environments where traditional experimentation may be challenging.
• Partner closely with Product, Engineering, Design, and Data Science leaders across Consumer Apps and adjacent organizations to influence product strategy and shape the future of how users navigate and interact with Roblox.
• Perform deep-dive analyses and build scalable measurement frameworks that enable teams to monitor UX health, identify regressions, uncover emerging opportunities, and make data-informed decisions at scale.

You Have:

• An 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, with a track record of applying these techniques to influence product strategy and business outcomes.
• Demonstrated ability to independently drive ambiguous, high-impact problem spaces, applying first-principles thinking to develop novel frameworks and solutions.
• Experience partnering cross-functionally with Product, Engineering, Design, and leadership teams to shape strategy, prioritize investments, and drive organizational alignment.
• Exceptional communication and storytelling skills, with the ability to distill complex, high-dimensional problems into clear, actionable insights for both technical and executive audiences.