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Roblox Logo

Senior Data Scientist - Ecosystem and Learning Platform

Roblox

$243,860 - $316,480
Dec 5, 2025
San Mateo, CA, US
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Roblox is looking to solve unique technical challenges at scale and create safer, more civil shared experiences for its community of players and developers by instilling a data-influenced approach to building products.

Requirements

  • A MSc, PhD, or equivalent experience in Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or other quantitative fields.
  • 4+ years developing, applying and productionizing statistical methods and machine learning techniques in scalable systems.
  • 4+ years of experience in data science or related fields.
  • Strong ability using SQL, Hive or Spark to transform/manipulate large datasets.
  • Extensive experience in one or more scripting languages, such as Python or R.
  • Proven track record to lead or build project areas from scratch.

Responsibilities

  • Provide expert support and guidance for vertical data science teams in experiment design, analysis, and troubleshooting.
  • Proactively find opportunities and implement solutions to streamline analytic operations in experimentation.
  • Develop innovative and scalable solutions to measure ecosystem health, forecast business performance, and identify and quantify sophisticated cause-effect relationships within Roblox ecosystem.
  • Design, build and maintain robust, production-ready data science systems and tools in collaboration with engineering partners.
  • Help scale experimentation, causal inference, and analytics insights through tooling and methodology.
  • Nurture positive relationships with the data science, engineering and product teams.

Other

  • A MSc, PhD, or equivalent experience
  • 4+ years of experience in data science or related fields
  • Lead or build project areas from scratch
  • Nurture positive relationships with the data science, engineering and product teams
  • Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday