Roblox-posted 3 months ago
San Mateo, CA
Administrative and Support Services

The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. This role will work very closely with Product Managers, Engineers, and other Data Scientists to build best-in-class Safety products. Roblox has unique safety challenges in the content moderation space and in understanding user identity, and this role powers company-wide decision making about critical safety issues. This role combines technical expertise in analytics data engineering and data science, focused on building analytics products and empowering teams with actionable insights. You will play a key role in creating foundational datasets, maintaining scalable data systems, and delivering world-class visualizations and insights to deepen our understanding of users. This role will report directly into Senior Data Science leadership.

  • Create and manage foundational datasets that power company-wide reporting and analytics use cases.
  • Build interactive data tools and dashboards to deepen our understanding of our Safety systems.
  • Build production-level quality and anomaly and monitoring on some of our most critical internal models.
  • Scale our data foundation while maintaining high data quality, scalability, and reliability.
  • Define key metric frameworks in collaboration with cross-functional partners and data scientists.
  • Use your understanding of business logic and technical expertise to solve complex data challenges.
  • An Advanced or equivalent Degree in Computer Science, Applied Math, Physics, Engineering, Statistics, Economics, or related discipline.
  • 6+ years of industry or equivalent experience in Data Science and Analytics.
  • 6+ years of experience with SQL and data visualization.
  • 4+ years of experience in analytical engineering or similar role.
  • Experience with data mining, warehousing and building ETL pipelines.
  • Experience working with complex datasets in the safety, social, compliance, or growth domain and/or gaming industry.
  • Experience in scripting languages like Python or R for data manipulation.
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