Job Description
What you'll do
Mine massive data sets to uncover fraud patterns and prevention opportunities.
Develop and productionize large-scale ML, DL, and AI models to detect and prevent fraudulent activity.
Translate business and product needs into scientific, explainable, and high-impact solutions.
Design and maintain end-to-end ML pipelines - from data ingestion and feature engineering to serving and monitoring in production.
Collaborate closely with product, engineering, and business teams to drive data-driven decisions.
Stay current with AI and ML research and evaluate new technologies to strengthen Protect’s algorithms. M.Sc in Computer Science, Mathematics, Statistics, Engineering or a related field
4+ years of experience in applied Data Science or Algorithmic Development, preferably in large-scale production environments.
Hands-on experience in training and fine-...
What you have