Manager, Data Science - Emerging ML
Core
Research and development of new AI technologies (Embeddings, Foundation Models) and building customer behavioral models to serve 50+ million customers.
Role type
Manager, Data Science - Emerging ML (Individual Contributor)
Builds
Production ML models and scalable systems for marketing, servicing, and fraud prevention.
Domain
Financial Services / Machine Learning / AI Research
Deliverable
production ML models
Required skills
Self-supervised learning, transformer models, representation learning, customer behavioral modeling, encoder/decoder model integration, Python, Scala, Spark, AWS, SQL, relational databases, statistical modeling, deep learning, clustering, classification, sentiment analysis, time series analysis
Preferred skills
PhD in STEM, AWS experience, 4+ years Python/Scala/R, 4+ years machine learning, 4+ years SQL
Technologies
Python, Scala, Spark, AWS, SQL
Responsibilities
Conduct research into self-supervised learning, transformer models, and representation learning; Build customer behavioral models using transaction and clickstream data; Refine integration patterns for encoder and decoder models; Build ML models through all phases of development and partner with engineering to operationalize them; Partner with business teams to conduct experiments guiding improvements to customer experiences.
Seniority
Manager, hands-on IC
