Rec Room is the best place to build and play games together. Players can chat, hang out, play in millions of rooms, or build something new to share with the world!
As a Staff Data Scientist on Trust & Safety, you will play a critical role in making Rec Room a safe, inviting, and inclusive place for people from all walks of life. Your work will directly impact our threat intelligence systems, preventing bad actors from engaging in harmful and illegal activity on the platform.
WHAT YOU'LL DO:
- Lead our effort in detecting harmful actors and improving child safety on the platform.
- Build machine learning models for production that flag malicious players, working with our support teams and law enforcement to reduce harm.
- Own the logic and outcomes for our Voice Toxicity system, improving our methodology to identify bad language.
- Design KPIs for the T&S org and identify opportunities to lead devs in achieving those KPIs.
- Look into fraudulent financial transactions, build our ML models to identify bad actors, and integrate with our support and moderation teams to stop them.
- Work closely with our operations team to develop tools to improve moderation efficiency.
WE ARE LOOKING FOR INDIVIDUALS WITH:
- 6+ years of analytics experience, with a proven track record of deriving insights that lead to product changes
- 2+ years in trust & safety in a larger organization, experience with child endangerment and law enforcement interaction strongly preferred.
- 2+ years in a fraud detection or integrity-focused role within a consumer-based app
- Significant expertise in experimentation methodologies
- Very strong knowledge of SQL
- Experience with Python or R is a plus
- Effective communicator with the ability to distill complex concepts into easily digestible insights
- A Bachelor’s or Masters in Math, CS, or related field
