
[2027] Data Scientist - PhD Intern
San Mateo, CA · San Mateo · USD 66-66 / hour · 1+ years experience · Full-time · Onsite · Posted Oct 8, 2026
At a glance
- Experience
- 1+ years experience
- Employment
- Full-time
- Workplace
- Onsite
- Location
- San Mateo, CA · San Mateo
- Salary
- USD 66-66 / hour
- Visa sponsorship
- Visa sponsorship not offered
About the role
- Roblox is looking for PhD interns to join their Data Science & Analytics organization to help shape the future of human interaction and product innovation.
- Interns will work across teams like Foundation AI, Safety, Economy, Engine, Social, Consumer/Growth, and Creator/Ads and Brands to tackle complex data challenges.
- The role involves researching and developing advanced data analytics, causal inference, experiment design, and machine learning solutions.
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.
Requirements
- Possessing or pursuing a PhD degree in a quantitative field such as Statistics, Applied Math, Computer Science, Economics, or Computational Social Science.
- 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.
Preferred qualifications
- Experience in developing production solutions is a plus.
- Experience with ML modeling
Workplace
- Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
Skills
- SQL
- Python
- R
- Hive
- Spark
- Airflow
- Causal Inference
- Machine Learning
- Experiment Design