Senior/Staff Data Scientist (Storefront)

Join our Storefront team as a Senior/Staff Data Scientist. In this role, you will own end-to-end modeling work across high-priority surfaces, including Recommendations and Personalization, Search, and AI-powered Shopping Experiences. You will collaborate closely with engineering managers, software engineers, and product managers to move our capabilities from traditional models into near real-time, personalized, and Generative AI-driven experiences. Your contributions will have a direct, measurable impact on conversion, discovery, and user satisfaction at scale.

• Ownership of end-to-end modeling work across high-priority surfaces, including Recommendations and Personalization, Search, and AI-powered Shopping Experiences.
• Development and refinement of machine learning models that deliver near real-time personalization across app and site surfaces, leveraging contextual signals.
• Collaboration with engineering managers, software engineers, and product managers to move capabilities from traditional models into near real-time, personalized, and Generative AI-driven experiences.
• Strong model productionalization skills with a customer-first mindset, allowing you to elegantly balance statistical accuracy against latency and engineering constraints in real-time environments
• Proven experience working with Generative AI or LLM application workflows for tasks like text parsing or context-driven query understanding
• 2+ years of industry experience as a data scientist, with a strong preference for consumer-facing products or e-commerce applications operating at high scale
• Exceptional proficiency in Python and SQL, alongside deep production knowledge of standard data science and machine learning libraries
• Hands-on experience developing and deploying production-grade Recommender Systems, Relevance Ranking, or Personalization pipelines
• MS or PhD in statistics, mathematics, engineering, computer science, or a highly quantitative field
• Experience replacing or augmenting traditional NLP systems with LLMs for complex text parsing and language understanding
• Familiarity with Business Intelligence tools (e.g., Looker, Tableau) to build internal dashboards for model tracking and metrics visibility
• Experience building data product specifications alongside distributed engineering teams to streamline model evaluation