Data Scientist
Core
Develop data-driven strategies and predictive models for a digital bank's value chain (deposits, savings, lending, investment) to optimize marketing, credit, and fraud analytics.
Role type
Senior IC data scientist (banking/finance)
Builds
Production ML models, data strategies, and test-and-learn programs for marketing, credit, and fraud
Domain
Digital banking, financial services
Deliverable
production ML models | product features
Required skills
Machine learning (Linear/Logistic Regression, Decision Trees, Random Forests, SVM, Neural Networks, Clustering, PCA, Boosting), SQL, Python, R, SAS, A/B testing design, statistical analysis, data visualization (Databricks, PowerBI, Tableau), large dataset manipulation
Preferred skills
Experience with alternative data sources (psychometric, device, consortium), e-commerce or banking environment experience
Technologies
SQL, Python, R, SAS, Databricks, PowerBI, Tableau
Responsibilities
Analyze large datasets to identify patterns and trends across bank services; Design, develop, and maintain internal predictive models; Monitor and recalibrate model/strategy performance; Execute test-and-learn programs to optimize marketing and fraud strategies; Onboard new data sources for strategy development
Seniority
Senior, hands-on IC
