Principal Associate, Data Scientist - Retail Bank Valuations Data Science
Core
Building next-generation customer valuation models to improve marketing efficiency and drive account growth via intelligent targeting, measurement, and segmentation.
Role type
Principal Associate, Data Scientist (Retail Bank Valuations)
Builds
Customer valuation models, marketing efficiency solutions, model pipelines
Domain
Retail Banking, Financial Services, Machine Learning
Deliverable
production ML models
Required skills
Python, machine learning algorithms, predictive modeling, SQL, statistical analysis, software engineering techniques, model pipeline development
Preferred skills
XGBoost, embeddings, sequence models, open-source programming languages for large-scale data analysis
Technologies
Python, SQL, XGBoost, embeddings, sequence models
Responsibilities
Build machine learning models through all phases of development (design, training, evaluation, validation, implementation), translate business goals into data science solutions, work with subject matter experts to deliver flexible models, explore next-generation model architectures
Seniority
Principal, hands-on IC with strategic impact
