Senior Data Scientist, Compliance & Trust

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. We partner with product verticals and 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 TRUST & SAFETY?

Scaling the ability to keep our users safe amidst rapid growth and a constantly changing regulatory environment is critically important at Roblox. This role is a critical driver of our business and will be the senior data leader on our compliance team, and offers a unique chance to shape our approach to transparency, safety for our most critical populations, and regulatory compliance. You will be instrumental in developing and implementing strategies to meet emerging requirements, forecasting the impact of regulatory changes on our business, and collaborating with product teams to design user-centric solutions, particularly those focused on minors, and your work here will be critical to our mission to connect users with safety & civility.

You Will:

• Develop statistically rigorous frameworks to forecast and measure impact from regulatory changes on our platform.
• Own our strategy around transparency reporting, including metric definition, positioning, and contextual data.
• Work with partners in product and data engineering to build out our suite of reports, including designing fault-tolerant data architecture that allows for future development.
• Conduct exploratory analyses to highlight improvements to policy, and share an opinionated stance on Roblox’s positioning on top safety concerns
• Design and run experiments to optimize safe user behavior on the platform and ensure greater efficiency in our internal processes

You Have:

• 8+ years of industry experience in data science and/or data analytics
• 5+ years of experience using big data query/processing languages such as SQL, Hive or Spark to transform/manipulate very large datasets
• 5+ years of experience in working in Trust & Safety, compliance, integrity, or a related field
• Demonstrated ability to lead and build project areas from scratch as an individual contributor
• Exceptional communication and collaboration skills
• Extensive experience working with a wide range of cross-functional partners, including policy, legal, finance, product, and engineering, all the way up to VP/C-suite leadership.
• An advanced Degree in Operations Research, Computer Science, Applied Math, Physics, Engineering, Statistics, Economics or other technical fields.

You Are:

• Highly dedicated. You are perpetually curious and consistently strive to improve your skills by learning the latest statistical techniques and data tools. You thrive with freedom and autonomy and are excited by the ambiguity that comes from exploring a new problem space.
• A strong communicator. You are excited by presenting your analysis to a wide range of audiences and enjoy engaging in spirited discussions about the findings. You have the ability to explain technical concepts to non-technical audiences and discuss appropriate tradeoffs, and you enjoy working with senior leadership and striving for alignment.
• Motivated by impact. You find great satisfaction in being able to point to direct contributions you’ve made to an organization. You recognize the inherent tradeoffs between further research/experimentation and productionization, and you apply the appropriate methodology to improve impact in a pragmatic fashion.
• An expert at transforming data with SQL and a scripting language such as Python or R. You’re experienced in automating efforts and crunching massive volumes of data in distributed systems using frameworks such as Spark, Hadoop or Flink.