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[2027] Data Scientist - PhD Intern

roblox· 37 open roles

San Mateo, CA On-siteFull-time3 days ago
Salary
$66 - $66
Experience
Mid
Job Type
Full-time
Posted
3 days ago
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About This RoleAI processing…

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.

Key Responsibilities

  • 1
    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.
  • 2
    Conduct in-depth research to address complex data-related challenges.
  • 3
    Work on projects that have a real impact on our products, services, and business strategy.
  • 4
    Apply your work to expedite product innovations, including in-experience experiments, friend recommendations, and dynamic resource allocation for experience servers
  • 5
    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.
  • Experience in developing production solutions is a plus.
  • Experience with ML modeling

Perks & BenefitsTypical for this role

Competitive compensation aligned with experience and market rate
Health, dental, and vision coverage
Paid time off and company holidays
Remote-friendly or hybrid working arrangements where applicable
Learning and professional development support
Modern tools and equipment to do your best work

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