Senior Data Scientist, Consumer Apps

About the Role

As a Senior Data Scientist on the Consumer Apps 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.

Responsibilities

• 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.
• 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.
• 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.
• 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 to connect insights across surfaces and translate complex data into actionable recommendations.

Qualifications

• 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.
• Demonstrated ability to independently lead ambiguous, high-impact problem spaces, applying first-principles thinking.
• Proven ability to influence across Product, Engineering, Design, Data Science, and leadership.
• Exceptional communication and storytelling skills.

Additional Details

Roles based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday.