Data Scientist, Featurespace
Core
Develop and manage analytical capabilities for fraud and risk prevention products across the full lifecycle, from discovery to production monitoring.
Role type
Senior IC data scientist (fraud/risk)
Builds
Fraud and risk prevention products for financial institutions
Domain
Financial services / Fraud detection
Deliverable
production ML models
Required skills
Machine learning model development, Python, Java, SQL, large-scale data analysis, model monitoring and retraining, model governance
Preferred skills
Product thinking, stakeholder collaboration, mentoring
Technologies
Python, Java, SQL
Responsibilities
Develop ML models using transactional datasets; Collaborate with product managers and engineers to solve real-world problems; Take models from discovery through to production; Monitor deployed models and identify improvement opportunities; Retrain and enhance models as fraud patterns evolve; Measure and communicate product impact; Contribute to model governance and documentation; Mentor colleagues
Seniority
Senior, hands-on IC
