Principal Associate, Data Scientist - Card Finance Innovation Team
Core
Build and deploy machine learning models for core forecasting engines to enable strategic planning and budgeting for card finance operations.
Role type
Principal Associate, Data Scientist (Forecasting & Strategy)
Builds
Next-generation forecasting ecosystem for card finance outlooks and budgets
Domain
Financial Services / Credit Card Industry / Machine Learning
Deliverable
production ML models
Required skills
Machine learning, Python, SQL, Statistical modeling, Time series analysis, Deep learning, Clustering, Classification, Sentiment analysis
Preferred skills
AWS, Scala, R, PhD in quantitative field
Technologies
Python, OneLake, Snowflake, AWS, H2O, Spark, Conda
Responsibilities
Design and deploy ML models through full development lifecycle; Partner with cross-functional teams to deliver data products; Leverage broad tech stack to analyze large volumes of numeric and textual data; Spearhead architectural design of forecasting ecosystem.
Seniority
Principal, hands-on IC with strategic impact
