Senior Data Scientist - Family Experience

About the role

WHY DATA SCIENCE & ANALYTICS?

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.

WHY FAMILY EXPERIENCE?

Family Experience sits at the intersection of safety, product, and growth. The team is building systems that help parents engage confidently in their child’s Roblox experience, while also enabling access to important features that increasingly require parental consent in regulated markets. This role is an opportunity to shape a fast-evolving product area with meaningful user and business impact. You will help make parent linking and consent flows simpler, improve parent engagement and perception, and be a strategic leader in product direction that strengthens both trust and growth for families and regulators globally.

You Will:

• Shape the Family & Experiences roadmap with strategic data science guidance across parent linking, consent, and parent engagement.
• Identify and size the highest-impact levers to improve parent links, engagement, and consent rates.
• Design and evaluate features across onboarding, linking, verification, consent, and Family Hub experiences.
• Apply experimentation and causal inference to understand how parent engagement influences child and family outcomes.
• Define success metrics and measurement frameworks for launches, funnels, and long-term product health.
• Partner with Product, Engineering, Policy, Legal, and UX Research to turn ambiguous problems into clear decisions.
• Translate friction points in the parent journey into actionable product recommendations.
• Communicate insights to leadership and cross-functional partners to drive prioritization and tradeoff decisions.

You Have:

• 5+ years of industry experience in data science, economics, analytics, or machine learning engineering
• 2+ years of experience using scripting languages (Python, R), and big data query/processing languages and tools such as SQL, Hive, Spark, and Airflow
• Knowledge of ML and Deep Learning either via formal training or industry experience
• Ability to apply creative first-principles reasoning to solve ambiguous problems
• Experience developing large-scale safety or moderation systems as well as experience with content platforms, specifically user-generated content
• Advanced Degree and/or PhD in Statistics, Computer Science, Physics, Applied Math, Economics, or other related quantitative fields