Roblox is looking to increase its speed, frequency, and acumen in making decisions at scale by instilling a data-influenced approach to building products. This involves discovering new opportunities, influencing product roadmaps, building data products, and measuring impact on their community of players and developers.
Requirements
- At least 1 year of experience doing causal inference or machine learning or experiment design via research or prior internship.
- Proficiency in one or more programming languages (e.g.,SQL,Python or R)
- Proficiency in big data query/processing languages and tools such as SQL, Hive, Spark, or Airflow.
- Experience with ML modeling
Responsibilities
- Collaborate with data scientists and engineers to research and develop advanced data analytics, causal inference, experiment design and machine learning solutions to power the business and product innovations.
- Conduct in-depth research to address complex data-related challenges.
- Work on projects that have a real impact on our products, services, and business strategy.
- Apply your work to expedite product innovations, including in-experience experiments, friend recommendations, and dynamic resource allocation for experience servers
- Present your findings and recommendations to both technical and non-technical stakeholders.
Other
- Possessing or pursuing a PhD degree in a quantitative field such as Statistics, Applied Math, Computer Science, Economics, or Computational Social Science.
- Passion for applying scientific rigor to advance dynamic consumer products.
- Experience in developing production solutions is a plus.
- Summer 2026
