Principal Data Scientist, Operations
Core
Design, develop, and deploy machine learning models to solve practical problems and enable financial progress for customers.
Role type
Principal Data Scientist (Operations)
Builds
Production ML models for efficient and accurate financial decisions
Domain
Fintech / Consumer Lending
Deliverable
production ML models
Required skills
supervised learning model design and deployment, software engineering (test-driven development, code review, refactoring), PyData stack (numpy, scikit-learn, pandas), model operationalization and evaluation, generalist data science approach
Preferred skills
end-to-end predictive model building, consumer lending or fintech domain experience, neural network architecture development for time series classification
Technologies
Spark, Kubernetes, Airflow, MLFlow, Chalk, BentoML, DVC
Responsibilities
Partner with business leaders and technical experts to develop new data sources and improve modeling methodology, apply models with sound risk management, share best practices for software engineering, mentor experienced data scientists
Seniority
Principal, hands-on IC with mentorship