Senior Data Scientist, Consumer Apps

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 were 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. Were 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 youll 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.

The Data Science & Analytics organizations 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.

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 Robloxs 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.

You Will:

• 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.

You Have:

• An advanced degree in Statistics Applied Mathematics Physics Engineering Computer Science Economics or a related quantitative field.
• 8 years of industry experience in Data Science or a related quantitative discipline preferably working on consumer-facing products or applications.
• 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.
• 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.
• Demonstrated ability to independently lead ambiguous high-impact problem spaces applying first-principles thinking to develop novel frameworks approaches and solutions.
• Proven ability to influence across Product Engineering Design Data Science and leadership shaping strategy prioritizing investments and driving alignment across organizational boundaries.
• 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.