Lead Applied Data Scientist - Search Ranking (applied ML, LLMs, NLP

Position: Lead Applied Data Scientist - Search Ranking (applied ML, LLMs, NLP)
## Lead Applied Data Scientist - Search Ranking (applied ML, LLMs, NLP)
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 Yesterday job requisition :
RThe pay range is $ - $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 LEAD DATA SCIENTIST – SEARCH AND BROWSE
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* 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 Target Data Sciences 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 Statistics, 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, Forecasting, Search 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.

The Search and Browse Applied Data Sciences team builds the core relevance engine and Data Science products that power Target’s Digital experience. As a Lead Data Scientist on this product – you’ll work with business partners to provide solutions for business problems in a fast-paced and global environment. You’ll have the opportunity to design quality, flexible and performant Data Science systems and services ’ll also architect Data Science solutions that capture, process and mine huge datasets in the retail industry.

We’ll also promote innovative thinking as well as the opportunity to use cutting-edge machine learning algorithms and NLP techniques to improve our Mobile and Web Search systems!
** As a Lead Applied Data Scientist – Search and Browse you’ll:
*** Develop and deploy scalable deep learning models to improve the search experience of guests
* Use LLM and agentic technologies to improve ecommerce search experience
* Architect and implement large-scale AI systems using test-driven development practices
* Build NLP technology for query and document analysis, processing, and understanding
* Create data pipelines for feature/label extraction and generation
* Conduct data analysis to identify opportunities and improve models
* Conduct research to advance the state-of-the-art ML, LLM, and NLP technologies
* Contributing to the operations/building of AI pipelines
* Adopting Target's infrastructural platforms and operationalize tools and systems around them
* Mentor and partner with other engineers to develop software that meets business needs
* Collaborate effectively with product and business partners to define and scope solutions
* Follow agile methodology for software development and technical documentation
* Innovate constantly and keep systems up to date with current technologies

Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.
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* About you:

*** PhD or MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience
* Research or industry experiences in search indexing, information retrieval or ranking
* Demonstrated experience in…