Principal Applied Data Scientist - Search and Browse (NLP, Vector Search, LLMs)

About the role

The Principal Applied Data Scientist – Search and Browse will define the long-term technical vision and organizational roadmap for Search, Browse, and AI-driven discovery systems. They will lead architecture strategy for large-scale retrieval, ranking, semantic search, and GenAI systems operating at massive scale. This role requires deep technical expertise, exceptional product judgment, and the ability to influence organizational strategy while driving measurable customer and business impact.

Responsibilities

• Define the long-term technical vision and organizational roadmap for Search, Browse, and AI-driven discovery systems
• Lead architecture strategy for large-scale retrieval, ranking, semantic search, and GenAI systems operating at massive scale
• Drive innovation across transformers, LLMs, RAG architectures, multi-stage ranking systems, personalization, conversational commerce, and agentic AI
• Architect search and retrieval systems for external LLM and agentic search ecosystem integration
• Define the future evolution of semantic retrieval, conversational search, and zero-shot discovery systems
• Influence organization-wide strategy across relevance, experimentation, evaluation, ML infrastructure, and AI product investments
• Lead highly ambiguous, multi-quarter initiatives involving Product, Engineering, Applied Science, Infrastructure, and executive stakeholders
• Establish scalable ML architecture patterns, experimentation standards, and operational best practices across multiple teams
• Drive foundational investments and technical direction across Search, Retrieval Infrastructure, and AI-powered discovery platforms
• Balance customer experience, business impact, system reliability, latency, scalability, and infrastructure cost at enterprise scale
• Mentor Lead scientists and technical leaders across the organization
• Represent the organization in executive reviews and drive alignment on major technical and product decisions
• Influence technical direction and investment priorities across multiple teams and organizations

Requirements

• PhD or MS in Computer Science, Statistics, Applied Mathematics, Physics or related quantitative discipline
• 8+ years of industry experience building and scaling ML systems for Search, Recommendation, Personalization, Ads, or AI platforms
• Strong experience with semantic retrieval, vector search, RAG systems, conversational search or agentic AI systems
• Deep expertise in retrieval/ranking architectures, recommendation systems, semantic search, NLP/LLMs, experimentation and ML infrastructure (VertexAI)
• Demonstrated Python programming and technical ML problem-solving skills
• Proven experience defining architecture and long-term strategy for large-scale production AI systems
• Experience operating large-scale online systems with strict latency, scalability, reliability, and infrastructure cost requirements
• Strong understanding of retrieval/ranking system tradeoffs, experimentation strategy, and operational excellence
• Strong track record driving measurable business impact through ML innovation
• Experience leading cross-functional initiatives spanning multiple teams or organizations
• Ability to influence executive stakeholders and drive organizational technical direction
• Exceptional communication, technical leadership, strategic thinking, and mentoring skills

Qualifications

• PhD or MS in Computer Science, Statistics, Applied Mathematics, Physics or related quantitative discipline
• 8+ years of industry experience building and scaling ML systems for Search, Recommendation, Personalization, Ads, or AI platforms
• Strong experience with semantic retrieval, vector search, RAG systems, conversational search or agentic AI systems
• Deep expertise in retrieval/ranking architectures, recommendation systems, semantic search, NLP/LLMs, experimentation and ML infrastructure (VertexAI)
• Demonstrated Python programming and technical ML problem-solving skills
• Proven experience defining architecture and long-term strategy for large-scale production AI systems
• Experience operating large-scale online systems with strict latency, scalability, reliability, and infrastructure cost requirements
• Strong understanding of retrieval/ranking system tradeoffs, experimentation strategy, and operational excellence
• Strong track record driving measurable business impact through ML innovation
• Experience leading cross-functional initiatives spanning multiple teams or organizations
• Ability to influence executive stakeholders and drive organizational technical direction
• Exceptional communication, technical leadership, strategic thinking, and mentoring skills

Skills

• Deep technical expertise in retrieval/ranking architectures, recommendation systems, semantic search, NLP/LLMs, experimentation and ML infrastructure (VertexAI)
• Strong experience with semantic retrieval, vector search, RAG systems, conversational search or agentic AI systems
• Python programming and technical ML problem-solving skills
• Experience operating large-scale online systems with strict latency, scalability, reliability, and infrastructure cost requirements
• Strong understanding of retrieval/ranking system tradeoffs, experimentation strategy, and operational excellence
• Ability to influence executive stakeholders and drive organizational technical direction
• Exceptional communication, technical leadership, strategic thinking, and mentoring skills

Benefits

Target offers comprehensive health benefits and programs, including 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.

Pay

The pay range for this role is $168,000.00 - $356,000.00. Pay is based on several factors which vary based on position, including labor markets and in some instances may include education, work experience and certifications.

Schedule

This role operates 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 in 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.