Lead Data Scientist - Fraud Prevention

Requirements:

• Proven track record of deploying models from scratch
• Strong Python knowledge
• Experience with statistical analysis
• Strong problem-solving skills

Nice to haves:

• Experience working with unsupervised algorithms
• Prior experience in the fraud domain

What you'll be doing:

• Maintain and optimize existing risk models
• Lead the development and deployment of machine learning models
• Conduct thorough data analysis
• Identify opportunities to reduce risks on good customers
• Document development and maintenance processes

Perks and Benefits:

• Collaborate with a dedicated fraud prevention team
• Opportunity to work on cutting-edge machine learning technologies
• Strong partnership between fraud investigators and product team
• Continuous improvement of fraud detection systems