Sr Applied Data Scientist - Search and Browse (Applied ML, NLP, LLMs)
Core
Building core relevance, retrieval, ranking, and personalization systems for Target's digital search and browse experience to help customers discover products.
Role type
Senior Applied Data Scientist (Search & Browse, NLP, LLMs)
Builds
Scalable ML systems for semantic search, browse relevance, and AI-native commerce discovery at enterprise scale.
Domain
E-commerce, Retail, Search, NLP, Generative AI
Deliverable
production ML models
Required skills
retrieval/ranking systems, semantic search, NLP, vector search, embeddings, transformers, RAG systems, GenAI, Python, SQL, distributed data processing, experiment design, production ML deployment
Preferred skills
long-tail search, zero-shot item understanding, conversational AI, query understanding, catalog understanding
Technologies
Python, SQL, transformers, vector search, RAG
Responsibilities
Develop and deploy scalable ML models for search ranking and personalization; Design and execute offline and online experiments; Build scalable feature pipelines and evaluation frameworks; Improve query understanding and semantic retrieval across large retail catalogs; Partner with Product, Engineering, and Infrastructure teams; Mentor junior scientists.
Seniority
Senior, hands-on IC with mentorship
