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

The pay range is $132,000.00 - $286,000.00

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 https://corporate.target.com/careers/benefits.

JOIN TARGET AS A LEAD 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 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 at scale. Whether 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 at scale. You’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.

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 NLP, LLMs, agentic systems or recommendation systems at scale

5+ years of experience in deploying machine learning algorithms into production environments with good ML Ops experience

Proficient in Python or Java with excellent coding and problem-solving skills

Exceptional hands-on modeling skills using Python

Extensive experience implementing and integrating ML models in production in high traffic/scale

Experience querying large databases with SQL, HQL, or some variation

Exceptional interpersonal and communication skills for partnering with global teams

Self-driven and results-oriented, with strong ownership, sound judgment and the ability to move quickly while maintaining high technical standard

Collaborative team player with a commitment to continuous learning, knowledge sharing, and building reliable AI systems that create business value

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs. A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite at the Target HQ Sunnyvale, CA or MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target.

Target will consider for employment qualified applicants with criminal histories in a manner consistent with the San Francisco and City of Los Angeles Fair Chance Ordinances.

Benefits Eligibility

Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_E

Americans with Disabilities Act (ADA)

In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.

Application deadline is : 09/10/2026