Data Scientist Lead

We're looking for a Lead/Expert Data Scientist in Risk to join our team. If you're passionate about scaling ML models and enhancing fraud detection, this might be the perfect role for you.

Responsibilities:
 Scale processing architecture for ML models
 Continuously improve projects and propose new ideas across teams
 Develop dashboards and monitor model operations
 Build real-time fraud detection models
 Data extraction, cleaning, processing, and visualization Analyze information, interpret statistical results, and manage projects

Required Skills:
 Proactive problem-solving and initiative-taking
 Ownership of processes and collaboration with Engineering, Product, etc. Creation of monitoring and performance dashboards
 End-to-end process redefinition Focus on continuous learning

Requirements:
 5+ years of experience with Python Experience in Risk/Fraud (transactional and non-transactional)
 Experience in Startups
 5+ years of experience with SQL Understanding of the ML model lifecycle Experience using metrics to measure ML model performance