MANAGER, DATA SCIENCE (PERSONALIZATION & RECOMMENDATION SYSTEMS) (REMOTE)

About the Role As Manager, Data Science, you will manage a data science team and work with cross-functional partners to solve business challenges and promote data-driven decision-making with advanced data analysis and machine learning. What You’ll Do • Attract, retain, develop, manage, coach and assess data scientists in a balanced team • Work with product, engineering and design leads and leverage data-driven insights to make decisions, set goals, prioritize work and achieve team objectives • Lead end-to-end data science projects from problem formulation to model deployment, ensuring high-quality deliverables that meet business needs • Oversee the design of experiments that answer targeted questions • Identify and drive continuous improvement of key business metrics within assigned team • Translate data science outputs into business outcomes and value delivered • Maintain strong business partner relationships to gain cross-organizational alignment, spur adoption and usage of data science capabilities and drive business outcomes • Remain current on the latest trends and developments in data science and technology and identify areas that offer the greatest return on investment • Additional tasks may be assigned Addendum Personalization & Recommendation Systems Accountabilities • Design and support deployment of machine learning models to power personalized experiences across digital channels (e.g., homepage, PDP, cart, campaigns) • Build and optimize recommendation and ranking systems balancing relevance, discovery, and business objectives (e.g., conversion, revenue) • Develop multi-stage ranking approaches, including candidate generation and re-ranking • Address cold-start and long-tail challenges in large product catalogs • Partner with engineering to support real-time personalization and scalable deployment Skills & Experience • Experience with personalization & recommendation systems, search, or ranking problems at scale of millions of customers and products • Experience in developing sequential, transformer models and utilizing LLM models in production • Understanding of collaborative filtering and learning-to-rank methods • Experience optimizing models for GPU / distributed training • Familiarity with large-scale datasets and production ML systems • Exposure to real-time or low-latency serving environments • Experience with vector search / ANN methods (e.g., FAISS, ScaNN) preferred • Experience with delivering end to end customized ML models in production environment Required • Expertise in developing and deploying state-of-the-art algorithms using machine learning and statistical and optimization methods to power various aspects of highly complex business models and deliver value • Expert in using modern analytics tools, programming languages, and cloud platforms such as Python, R, Spark, SQL, GCP, etc. • Strong problem-solving skills with an emphasis on product development • Experience proposing rapid experiments to test the efficacy of new strategies or initiatives and iterating quickly based on results • Proven success guiding teams through unstructured technical problems • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or equivalent quantitative field • 5+ years (or 2+ years with a Master’s degree) of progressively complex data science experience • 2+ years of managerial or leadership experience in data science or analytics organizations Preferred • Master's degree and/or Ph.D. • Retail experience • Marketing models