Lead Applied Data Scientist - Digital Item RecSys (applied ML, deep learning)
Core
Lead the design, development, evaluation, and deployment of machine learning models for digital item recommendations and personalization at massive scale.
Role type
Lead Applied Data Scientist (Recommendation Systems)
Builds
Production recommendation, retrieval, ranking, and personalization systems for digital experiences
Domain
Retail / E-commerce / Machine Learning
Deliverable
production ML models
Required skills
Machine learning, deep learning, optimization, statistics, probability, experimental design, Python, SQL, PyTorch or JAX, Spark, Generative AI tools
Preferred skills
Leading development of ML solutions, mentoring data scientists, translating business challenges to algorithmic solutions
Technologies
PyTorch, JAX, Spark, Python, SQL
Responsibilities
Design and deploy ML models for recommendations, mentor data scientists, establish best practices for model development, influence technical direction across teams
Seniority
Senior, hands-on IC with leadership responsibilities