Senior Data Scientist (Consumer Apps)

Roblox is used by tens of millions of people every day across a wide range of devices, including mobile, desktop, console, TV, and VR

The Consumer Apps team owns the app foundation that makes Roblox feel fast, fluid, and reliable for players and is dedicated to delivering superior performance, reliability, and user experience across all platforms Roblox supports

This team ensures a seamless and engaging user interface that facilitates intuitive interactions while enabling efficient, high-quality experiences across devices

Innovation is at the core of our work, as we continuously enhance features and integrate cutting-edge technologies to solve complex problems

As a Data Scientist on the team, you will help accelerate Roblox’s growth by shaping how we launch and optimize Roblox across the diverse device ecosystems where people connect, play, and co-experience

You will partner with Mobile, Desktop, Console, and emerging-platform teams to identify opportunities and develop platform-specific strategies that make Roblox feel best-in-class on every device

You will use data to guide investments across platform expansion, platform-specific product experiences, and ecosystem partnerships

You will develop measurement and experimentation frameworks to understand both the direct and broader ecosystem impact of these investments, helping teams identify growth opportunities, make informed tradeoffs, and continuously improve the Roblox experience while expanding universal access

Identify high-potential platform levers and apply causal methods to understand their impact on user behavior, engagement, monetization, and other topline outcomes, translating these insights into platform-specific strategies

Develop deep expertise in the unique dynamics of each platform — including how the product is experienced, how user cohorts differ, and what drives their behavior — and proactively bring this perspective to broader research and cross-functional decision-making to identify opportunities and explain differences in product and business outcomes

Build visibility into platform-level business performance and establish growth targets informed by internal data, market research, and competitive insights

Design and analyze experiments to evaluate product launches, inform iteration, and drive rigorous, data-informed product decisions

Advance how we measure product impact by developing innovative measurement and causal inference approaches where traditional A/B testing is not feasible, expanding the range of platform investments we can evaluate with rigor and confidence

Elevate data and experimentation rigor across the broader team by building scalable frameworks and practices around experiment design, success metrics, launch criteria, and launch readiness — helping teams launch confidently and consistently

Build scalable monitoring and diagnostic capabilities that enable teams to quickly identify trends, investigate changes, and understand root causes

Partner across Data Science, Product, and Engineering — including Growth, Discovery, Social, and other product areas — to connect insights across surfaces, understand how platform and product changes affect the broader ecosystem, and translate complex data into actionable recommendations that shape strategy and drive impactful platform improvements

8+ years of industry experience in Data Science or a related quantitative discipline, preferably working on consumer-facing products or applications

Proven ability to influence across Product, Engineering, Design, Data Science, and leadership, shaping strategy, prioritizing investments, and driving alignment across organizational boundaries

Strong analytical and technical skills, with proficiency in Python or R, SQL, and large-scale data processing and workflow tools such as Spark and Airflow

An advanced degree in Statistics, Applied Mathematics, Physics, Engineering, Computer Science, Economics, or a related quantitative field

Demonstrated ability to independently lead ambiguous, high-impact problem spaces, applying first-principles thinking to develop novel frameworks, approaches, and solutions

Deep expertise in statistical analysis, causal inference, experimentation, and measurement methodologies, with a track record of applying these techniques to shape product strategy and drive business outcomes

Exceptional communication and storytelling skills, with the ability to distill complex, high-dimensional problems into clear insights and actionable recommendations for both technical and executive audiences