Staff Data Scientist & MLE — Recs & Personalization Architect

A leading global retailer is seeking a Staff Engineer to architect feature engineering systems for large-scale recommendation and personalization. This role involves defining the feature strategy and conducting hands-on leadership to ensure high-impact solutions. Candidates should have 4+ years in data engineering and a strong background in distributed systems and machine learning. This position offers a range of benefits and encourages innovation in a collaborative environment. #J-18808-Ljbffr