Data Scientist

Data Scientist is needed to perform the following duties:

• Model evaluation, explainability
• Threshold tuning, and performance monitoring
• Evaluate model performance using metrics such as precision, recall, false positive rate, F1 score, ROC-AUC, backtesting results, and fraud detection accuracy.
• Tune thresholds, analyze false positives, explain model outputs and rule triggers, and recommend improvements to fraud models and alert logic.
• Production integration with APIs, databases, and risk monitoring workflows.
• Collaborate with backend and engineering teams to integrate fraud models, outputs, risk scores, and detection rules into production APIs and monitoring workflows.
• Work with databases, message streams, and backend services to support ingestion, feature storage, scoring, alert generation, and system reliability.
• Documentation, validation, compliance support, and cross‑functional collaboration.
• Prepare documentation for feature definitions, model methodology, fraud rules, validation results, risk‑scoring logic, assumptions, and system behavior.
• Collaborate with product, engineering, business, and compliance stakeholders to review alerts, incorporate feedback, improve detection accuracy, and reduce false positives.

• Bachelor’s Degree required in Computer Science, Computer Engineering, or Data Science.