Manager, Data Science
Core
Develop and manage an integrative set of models including risk, direct mail response, portfolio risk, line management, and collection models to drive healthy growth and decision-making.
Role type
Manager, Data Science
Builds
Risk models, customer segmentation frameworks, and profit-driven decision strategies for the lending industry.
Domain
Financial Services / Credit Risk / Lending
Deliverable
production ML models | dashboards & analysis
Required skills
Statistical analysis, machine learning algorithms (regression, decision trees, neural networks, XGBoost), model monitoring, team leadership, strategic alignment, complex process management
Preferred skills
Non-traditional data source integration, credit bureau tradeline analysis, advanced modeling techniques
Technologies
R, SAS, Python, TensorFlow, PySpark
Responsibilities
Research and develop new modeling techniques; work with non-traditional data sources to improve model performance; lead a team to conduct statistical analysis and develop risk strategies; partner with leaders to define business priorities and align resources; leverage traditional regression models and ML algorithms to estimate customer behaviors; effectively prioritize competing initiatives across direct reports.
Seniority
Manager, hands-on IC with team leadership