Data Scientist Lead, Anomaly Detection

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Worldcoin is currently building up its vitally important fraud-monitoring team as we head towards mass production and the global launch of the Orb. As team lead on the fraud prevention team, you will manage the feature roadmap for everything related to fraud prevention in collaboration with cross functional teams. Such systems include CNN based presentation attack detection as well as anomaly detection. You will be involved in deploying our hardware device to unsecured environments while maintaining the system’s overall integrity. The challenge is to develop scalable strategies for preventing fraud while creating a positive user experience. Since system integrity is essential for Worldcoin’s mission, this role is critical for the company.

You will coordinate cross-functionally to design and implement systems to monitor devices in the field for fraudulent activity of any kind. You will interact closely with the AI, on-device software, backend, economics and growth teams. Given that one can always take further preventative measures to make attacks more difficult—ultimately preventing fraud—this role effectively provides unlimited opportunity.

In this role you will:

• Build the fraud prevention team
• Architect supervised and unsupervised systems to detect potentially fraudulent activity and deactivate devices.
• Coordinate cross-functional work streams with the On-Device Software, AI and Backend teams
• Develop key indicators to serve as early warning risk indicators for potentially fraudulent activity
• Set policies on when potential fraud should be reviewed vs automatically blocked
• Work with engineers across the company to collect better metrics that improve fraud detection
• Balance user privacy with fraud risk
• Develop preventative measures to reduce the number of fraudulent activities

About You:

• 3+ years of relevant professional experience
• You enjoy to do occasional hands-on development work
• You have lead an engineering team before
• Experienced with infrastructure, data science and dashboard development
• Thrive in a fast-paced environment that is continuously evolving
• Decisive, yet open to learning: you will make many critical decisions every day impacting large numbers of users. You are willing to make difficult decisions in an ambiguous environment and quickly learn and iterate from your experiences. 
• Analytical and skilled at using data to drive decisions.
• Creative yet pragmatic and solutions oriented
• Care about the user and are making thoughtful balanced decisions weighing user experience and privacy vs the risk of fraud
• Deeply curious and creative
• Bonus
• Knowledge about IoT devices
• Knowledge about on-device Software & Hardware security
• You have scaled a team before