Principal Associate Data Scientist, Machine Learning
Core
Building and deploying machine learning models to analyze billions of customer transactions for financial products and strategies.
Role type
Principal Associate Data Scientist (Machine Learning)
Builds
Production ML models, model development pipelines, and data extraction tools for financial services.
Domain
Financial Services / Machine Learning
Deliverable
production ML models
Required skills
Python, SQL, Machine Learning (Gradient Boosting, Neural Networks), Version Control (GitHub), Data Engineering, Experimental Design
Preferred skills
AWS, CI/CD tools, Unit Testing, Financial Data, AI Agents
Technologies
Python, R, H2O, XGBoost, TensorFlow, AWS (EC2, S3, Lambda, RDS), Jenkins, CircleCI, GitHub
Responsibilities
Writing software to extract and clean large datasets; Building, deploying, and maintaining ML models; Developing model development pipelines; Designing and analyzing experiments to optimize business strategies; Investigating new technologies and methodologies.
Seniority
Senior, hands-on IC with emerging leadership responsibilities
