Manager, Data Scientist - Recommendation & Personalization Systems
Core
Architecting and deploying cutting-edge personalized recommendation engines and high-scale ML models to unlock opportunities for everyday people in financial lives.
Role type
Manager, Data Scientist (Recommendation & Personalization Systems)
Builds
Production-grade personalized recommendation engines and high-scale ML systems for web and mobile applications.
Domain
Financial services / Machine Learning / Recommendation Systems
Deliverable
production ML models
Required skills
Machine learning model development, relational database management, open-source programming languages, large-scale data analysis, cross-functional partnership, business goal translation
Preferred skills
MLOps practices, Transformer-based architecture development, distributed data processing, deep learning optimization
Technologies
Python, AWS, Spark, H2O, Conda, PyTorch, DASK, Kubeflow, CI/CD pipelines
Responsibilities
Partner with cross-functional teams to deliver customer-focused products, build ML models through design to implementation, leverage technology stacks to reveal insights in large data volumes, translate technical complexity into business goals
Seniority
Manager, hands-on IC with team leadership