Data Scientist 2/3, Storefront
Core
Build end-to-end machine learning pipelines for real-time personalization, search, and AI-powered shopping experiences to drive conversion and user satisfaction in a direct-to-consumer retail environment.
Role type
Senior IC data scientist (recommendations & search)
Builds
Near real-time personalized recommendations, natural language search engine, and interactive app engagement features for a global e-commerce platform.
Domain
E-commerce / Retail / Consumer Technology
Deliverable
production ML models
Required skills
Python, SQL, Recommender Systems, Relevance Ranking, Generative AI / LLM workflows, Model productionalization, End-to-end pipeline ownership
Preferred skills
LLM-based text parsing, Business Intelligence tools (Looker, Tableau), Data product specifications
Technologies
Python, SQL, LLMs (Claude, GPT)
Responsibilities
Develop and refine machine learning models for near real-time personalization; Assist in building a natural language search engine using LLMs; Design algorithms for interactive app experiences; Create new relevance ranking features and build automated modeling pipelines; Identify data gaps and establish real-time tracking frameworks; Partner with product squads to translate business targets into data science solutions.
Seniority
Senior, hands-on IC
