Sr Applied Data Scientist - Search Ranking (Applied ML, NLP, LLMs))

The pay range is $98,000.00 - $211,000.00 Pay is based on several factors which vary based on position. These include labor markets and in some instances may include

, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health

and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other

for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive

from financial and

to well-being and beyond at https://corporate.target.com/careers/

. JOIN TARGET AS A SR APPLIED DATA SCIENTIST - SEARCH RANKING

: Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. A role with Applied Data Sciences team at Target means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Search, RecSys, Supply Chain Optimization or Machine Learning teams, you'll be challenged to harness Target's impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Every Scientist on Target's Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, and to elevate Target's culture and apply retail domain knowledge. About our Search and Browse team: The Search and Browse Applied Data Science team builds the core relevance, retrieval, ranking, and personalization systems that power Target's Digital experience. We develop scalable ML systems that improve product discovery, semantic search, browse relevance, and customer engagement across Mobile and Web platforms. E-commerce Search is rapidly evolving with advances in LLMs, semantic retrieval, and conversational AI. We are building next-generation discovery experiences that help millions of guests find the right products quickly and intuitively across massive and constantly changing retail catalogs. Our team is solving large-scale Search challenges at enterprise scale, including natural language and long-tail search, semantic retrieval, zero-shot item understanding, and AI-native commerce discovery experiences operating at 10K+ QPS with strict latency and reliability