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Distinguished, Data Scientist - Conversation Understanding and Answering for Shopping Agents

World's largest retailer focused on helping people save money and live better through retail innovation and technology.
Sunnyvale, CA, USABentonville, AR, USA
$169,000 - $338,000
Machine Learning
Principal Software Engineer
In-Person
5,000+ Employees
7+ years of experience
AI · Enterprise SaaS · E-Commerce

Description For Distinguished, Data Scientist - Conversation Understanding and Answering for Shopping Agents

Walmart's Next Gen Commerce team is seeking a Distinguished Data Scientist to shape the future of shopping through intelligent, conversational agents. This role combines deep expertise in LLM systems with thoughtful agent design to create scalable, cost-efficient shopping experiences. You'll work on prototyping and scaling agentic workflows across various shopping scenarios, integrating with domain-specific tools, and ensuring conversations are grounded in Walmart's retail intelligence.

The position offers a unique opportunity to impact conversational commerce at scale, working with the world's largest retailer. You'll be part of Walmart Global Tech, where your code can affect hundreds of millions of people. The role involves designing intelligent, adaptive experiences that transform shopping interactions from reactive to truly agentic, combining utility with customer delight.

Key responsibilities include designing modular conversational flows, integrating with various tools and sub-agents, optimizing LLM usage, and leading system-level experimentation. You'll work with cutting-edge technologies while collaborating across science, product, and engineering teams.

The role offers competitive compensation ($169,000-$338,000 in Sunnyvale), comprehensive benefits including medical, vision, and dental coverage, 401(k), stock purchase plans, and paid parental leave. You'll be based in Walmart's Silicon Valley hub, joining a culture that values in-person collaboration and innovation at scale.

This position requires deep expertise in conversational AI, proven experience with LLMs, and strong technical collaboration skills. The ideal candidate will have 7+ years of relevant experience and a track record of implementing sophisticated dialogue systems.

Last updated a day ago

Responsibilities For Distinguished, Data Scientist - Conversation Understanding and Answering for Shopping Agents

  • Design and implement modular conversational flows for various shopping scenarios
  • Integrate with domain-specific tools and sub-agents
  • Make decisions on LLM usage and optimization
  • Design and execute fine-tuning strategies for in-house LLMs
  • Collaborate with agent-led engagement teams
  • Partner with evaluation teams to align workflows with quality signals
  • Contribute to architectural decisions for conversation management
  • Lead system-level experimentation

Requirements For Distinguished, Data Scientist - Conversation Understanding and Answering for Shopping Agents

Python
  • 7+ years of experience in data science, machine learning, or NLP
  • Proven ability to design and implement intelligent conversational flows
  • Strong hands-on experience with large language models
  • Familiarity with agentic platforms and memory systems
  • Ability to translate customer journeys into conversational architectures
  • Excellent technical collaboration skills
  • Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, or related field

Benefits For Distinguished, Data Scientist - Conversation Understanding and Answering for Shopping Agents

Medical Insurance
Vision Insurance
Dental Insurance
401k
Equity
Parental Leave
Education Budget
  • Medical Insurance
  • Vision Insurance
  • Dental Insurance
  • 401k
  • Equity
  • Parental Leave
  • Education Budget

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