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