Senior Data Scientist, Trust & Safety - Account Integrity

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. 

At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. 

A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.

WHY DATA SCIENCE & ANALYTICS?

The Data Science & Analytics organization's mission is to increase our speed, frequency and accuracy 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 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 - ACCOUNT INTEGRITY?

With our large and growing number of active users on Roblox, we are an ever more attractive target for malicious actors to both compromise user accounts and proliferate fake accounts for the purposes of spam and phishing. Reporting to the Senior Manager of Data Science for Trust & Safety, as a Data Scientist on the Account Integrity team, you'll play an important role in helping us curtail the spread of bots and keep user accounts secure. Using a combination of machine learning and engineering, you'll develop new techniques and signals to help automatically identify repeated bad actors across a set of accounts as quickly as possible and identify common patterns to proactively prevent future abuse.

You Are:

• Highly self-driven. You are perpetually curious and consistently strive to improve your skills by learning the latest modeling techniques and data tools. You thrive with freedom and autonomy and are excited by exploring new problem spaces.
• A strong communicator. You understand that analysis must be presented in meaningful ways and engage in spirited discussions about the findings. You have the ability to explain technical concepts to non-technical audiences and discuss appropriate tradeoffs.
• 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 apply the appropriate methodology to maximize impact.
• An expert 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.
• Experienced in developing models to draw insights from data and automate decisions. You are capable of using machine learning and statistical techniques to model a variety of different types of data from time-series and sequential data to unstructured data like text and images. You are comfortable throughout different phases of data product development and can take a project from ideation to deployment.

You Will:

• Reporting to the Senior Manager, you will accelerate product development through your understanding of the underlying data and your ability to partner with product and technical leaders to provide insights that lead to the safest experiences for Roblox's sizable user base.
• Investigate new ways to discover automated behavior on the Roblox platform.
• Develop modeling solutions to identify new attacks and signals of malicious user behavior.
• Collaborate with engineering teams to push detection systems toward real-time identification.

Basic Qualifications:

• Bachelors in Computer Science, Applied Math, Physics, Engineering, Statistics, Economics or other technical field
• 4+ years of industry experience OR 2+ years of academic experience in addition to 2+ years of industry experience
• 2+ years of experience in statistical modeling and machine learning
• 2+ years of experience using big data query/processing languages such as SQL, Hive or Spark to transform/