Get introduced to the
most exciting companies in
our portfolio.

Exciting opportunity alert! We're looking for a Lead/Expert Data Scientist in Risk to join our team. If youre 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: 3+ 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

Extras: Experience with SageMaker Analytical knowledge for rule configurations and analysis Experience in deploying ML models