Manager, Data Science (Personalization & Recommendation Systems) (Remote

Manager, Data Science

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.

• 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

• 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

• 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

• 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

• Master's degree and/or Ph.D.
• Retail experience
• Marketing models