Roblox is looking to solve the problem of empowering its community of developers and creators to bring any experience they can imagine to life, while also building a platform that enables shared experiences among billions of users.
Requirements
- Knowledge of statistics fundamentals to support experimental design and causal analysis
- Experience with exploratory data analysis, data analysis to inform product design decisions, statistical analysis and testing, and machine learning model development
- Experience building data pipelines and dashboards yourself.
- Domain knowledge related to gaming, communication, education, building out a platform, and/or enabling creators.
- Experience with data visualization and / or building an analytics platform
- Experience working on customer support, relations, and / or services
- Experience working on the creator/seller/producer/content side of platforms.
Responsibilities
- Build innovative and scalable data products and analyses to empower our creator community.
- Design experiments or causal studies to quantify impact from creator facing product feature launches.
- Define metrics to evaluate success and build dashboards to track progress.
- Influence how Roblox interacts with its players and its platform creators to accelerate creator velocity.
- Build, maintain, and scale reliable data pipelines and dashboards to ensure accurate and timely visibility into team metrics and platform health.
- Provide technical mentorship and expertise that multiplies the contributions of data scientists across the org.
- Be a strategic thought partner that uses data and insights to drive growth.
Other
- Bachelor’s or equivalent degree in Statistics, Computer Science, Physics, Applied Math, Economics, Engineering or other related quantitative fields
- 3+ years of industry experience in Data Science and Analytics
- Passionate about data. You have the curiosity and self-drive to continuously learn new techniques and tools to extract value from data.
- A strong communicator. You understand that analysis must be presented in meaningful ways and engage in spirited discussions about the findings.
- A capable statistician. You understand the value of characterizing data by its distribution. Covariance, Bias, and Conditional Probability are concepts that you rely on every day.
