Lead Data Scientist - Fraud Prevention

Requirements:

• Proven track record of deploying models from scratch
• Solid knowledge of Python
• Experience working with large datasets
• Experience with statistical analysis
• Strong product mindset
• Good communication skills
• Strong problem-solving skills

Nice to Haves:

• Experience with MLOps tools
• Prior experience in the fraud domain

What You'll Be Doing:

• Model Maintenance and Improvement
• Innovate and Develop machine learning models
• Data Analysis & Intelligence Creation
• Collaboration & Communication with the Fraud Risk Team
• Risk Reduction Initiatives
• Documentation & Reporting

Perks and Benefits:

• Opportunity to work on cutting-edge fraud prevention and detection technology
• Collaborative work environment with software engineers, data analysts, and data scientists
• Continuous learning and professional growth opportunities
• Competitive salary and benefits package