Principal Associate, Data Scientist - Card Finance Innovation Team
Core
Architecting and deploying next-generation forecasting engines for card finance using machine learning to power monthly outlooks, annual budgets, and long-term strategic planning.
Role type
Principal Associate, Data Scientist (Forecasting & Architecture)
Builds
Core forecasting ecosystem for card finance operations
Domain
Financial Services / Credit Card / Machine Learning
Deliverable
production ML models
Required skills
Machine learning model development, statistical modeling, Python, SQL, cloud computing, time series analysis, clustering, classification, sentiment analysis, deep learning
Preferred skills
Scala, R, AWS, STEM PhD
Technologies
Python, Conda, AWS, H2O, Spark, OneLake, Snowflake
Responsibilities
Partner with cross-functional teams to deliver data products, build ML models through design to implementation, leverage broad tech stacks to reveal insights in large numeric and textual datasets, spearhead architectural design of forecasting ecosystems
Seniority
Principal, hands-on IC with strategic impact
