Data Scientist (PhD Intern, 2027)
- San Mateo, United States
- Internship
- Intern/New Grad
- 1+ years
- PhD or doctorate
- Posted
Skills
Required
- causal inference / machine learning / experiment design
- SQL / Hive / Spark / Airflow
- ML modeling
- big data query/processing languages
- programming languages
- e.g.,SQL,Python
Preferred
- analytics
Join Roblox as a Data Scientist (PhD Intern, 2027) and be part of a team that is dedicated to increasing the speed, frequency, and acumen of decision-making at scale. You will collaborate with various product verticals, conduct in-depth research, and work on projects that have a real impact on our products, services, and business strategy. This internship is an excellent opportunity for those pursuing a PhD in a quantitative field and have experience in causal inference or machine learning.
Responsibilities
- Collaborate with data scientists and engineers to research and develop advanced data analytics, causal inference, experiment design, and machine learning solutions.
- Conduct in-depth research to address complex data-related challenges and work on projects that have a real impact on products, services, and business strategy.
Requirements
- Present findings and recommendations to both technical and non-technical stakeholders, demonstrating the ability to communicate complex concepts effectively.
Experience with ML modeling
- Passion for applying scientific rigor to advance dynamic consumer products
- Proficiency in big data query/processing languages and tools such as SQL, Hive, Spark, or Airflow
- Proficiency in one or more programming languages (e.g.,SQL,Python or R)
- 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
Preferred
- Experience in developing production solutions is a plus
