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[2026] Data Scientist, Social - PhD Early Career

Roblox

$184,960 - $220,300
Dec 16, 2025
San Mateo, CA, US
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Roblox aims to connect a billion people through immersive digital experiences while fostering safer, more civil shared experiences. The Data Science & Analytics team is focused on increasing the speed, frequency, and acumen of decision-making at scale by using a data-influenced approach to build products and improve the social features of the platform.

Requirements

  • Possess or pursuing a PhD or equivalent in Data Science, Biostatistics, Mathematics or a related field
  • Expertise in SQL and experience using scripting languages for data analysis (e.g., Python, R).
  • Proficiency in developing data pipelines and working with big data technologies (e.g., Spark, Hive, Airflow).
  • Strong experience in experimental design (A/B testing), causal inference and other statistical techniques.
  • A proven track record of translating complex data into actionable insights and communicating them to stakeholders.
  • Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, or a related field).

Responsibilities

  • Design, execute, and analyze A/B tests to measure the impact of new features and inform product decisions.
  • Architect and build robust data pipelines to support analytics, reporting, and modeling needs.
  • Conduct deep-dive analyses to understand user behavior, identify opportunities for growth, and solve ambiguous business problems.
  • Contribute to the team's science roadmap by identifying key areas for analysis and experimentation.
  • Leverage technical expertise and analytical skills to design experiments and formulate product strategies.
  • Conduct research to gain deeper insights into the Roblox social network.
  • Collaborate with cross-functional verticals such as Discovery, Safety, and Creator.

Other

  • Annual Salary Range $184,960—$220,300 USD
  • Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday.
  • Possess or pursuing a PhD or equivalent in Data Science, Biostatistics, Mathematics or a related field
  • Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, or a related field).
  • Apply now to be considered for anticipated positions.