Sr Applied Data Scientist - Search and Browse (Applied ML, NLP, LLMs

Position: Sr Applied Data Scientist - Search and Browse (Applied ML, NLP, LLMs)
## Sr Applied Data Scientist - Search and Browse (Applied ML, NLP, LLMs)
Apply locations:
100 Mathilda Place,Ste 100 Sunnyvale,CA :
7000 Target Pkwy N,NCD-0375 Brooklyn Park,MN 55445time type:
Full time posted on:
Posted 9 Days Agojob requisition :
RThe pay range is $98,000.00 - $Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, 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 benefits 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 benefits 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 benefits from financial and education to well-being and beyond at
** JOIN TARGET AS A SR DATA SCIENTIST – SEARCH AND BROWSE
***
* About Us:

** 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 ther you join our Search, Rec Sys, 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 requirements.
** As a Sr Data Scientist – Search and Browse you’ll:
*** Develop and deploy scalable ML models for search ranking, browse personalization, semantic retrieval, and query understanding systems
* Design and execute offline and online experiments to improve relevance, engagement, conversion, and customer satisfaction
* Build scalable feature pipelines, evaluation frameworks, and ML workflows for production systems
* Apply modern ML techniques including embeddings, retrieval/ranking models, transformers, NLP, vector search, and GenAI/RAG systems
* Improve query understanding, catalog understanding, semantic retrieval, and long-tail search relevance across large retail catalogs
* Partner closely with Product, Engineering, and Infrastructure teams to align technical solutions with business priorities and operational requirements
* Drive data-informed decision making through deep analysis, experimentation, and business impact measurement
* Balance model quality with latency, scalability, reliability, and infrastructure efficiency in large-scale production systems
* Contribute to best practices in experimentation, ML engineering, and operational excellence
* Mentor junior scientists and…