[2026] Data Scientist - PhD Intern (Short Term)
About The Position
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, we’re 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. We’re 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 you’ll 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 organization's 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, causal inference, economics, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive toolbelt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. This is a temporary, part-time position requiring no more than 20 hours per week for a 3-month duration, with possibility to extend. Teams Hiring for this role: Foundation AI: Our AI evaluation team focuses on generating high-quality models and consistently improving our evaluation models. Safety: Managing account relationships and the real-time morphing of linguistic mapping. Economy: Drive creator success and growth by exploring marketplace structure and pricing.
Requirements
- Possessing or pursuing a PhD degree in a quantitative field such as Statistics, Applied Math, Computer Science, Economics, or Computational Social Science, Operations Research, Computer Engineering, Electrical Engineering.
- 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.
- Passion for applying scientific rigor to advance dynamic consumer products.
Nice To Haves
- Experience in developing production solutions is a plus.
- 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.
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What This Job Offers
Job Type
Part-time
Career Level
Intern
Education Level
Ph.D. or professional degree
Number of Employees
1,001-5,000 employees
