(usa) Staff, Data Scientist

Walmart · Retail · AR BENTONVILLE REGIONAL REAL ESTATE WAREHOUSE, Sunnyvale, CA

Staff Data Scientist role focused on building and deploying large-scale GenAI systems, leveraging LLMs and advanced AI/ML technologies to solve complex business problems in retail and e-commerce. The role involves training and inference of large AI models, model optimization, and hands-on experience with RAG and AI agent development.

What you'd actually do

  1. Lead high-caliber team to build large-scale Genai systems
  2. Develop data science systems and tools for retail; e-commerce applications:
  3. Leverage LLMS to summarize and build large scale applications
  4. Establish cross-functional relationships to maintain win-win situation for the corporation
  5. Collaborate with various product stake holders and business owners to formulate and productionize a solution.

Skills

Required

  • Master's degree or PHD in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in analytics related field
  • Strong solution architecture mindset, with the ability to apply AI/ML technologies to solve complex business problems.
  • Experience with training and inference of large-scale AI models such as Large Language Models (LLMs), multimodal models, and reasoning models.
  • Knowledge of advanced model optimization techniques, including quantization, pruning, distillation, Low-Rank Adaptation (Lora), and Parameter-Efficient Fine-Tuning (PEFT) for cloud deployment.
  • Solid understanding of LLMs and Genai ecosystems, including GPT, LLaMA, Mistral, Claude, Gemini, AWS Sonnet, and related frameworks/tools.
  • Hands-on experience with RAG (Retrieval-Augmented Generation), AI agent development, and frameworks such as Lang Chain, Langgraph etc.

Nice to have

  • Experience with Big Data processing and feature engineering using Spark
  • Experience with training machine learning models through Cloud Services including Google Cloud Platform and Microsoft Azure
  • Hands on experience of designing and training large DL models on GPU

What the JD emphasized

  • Must have qualifications
  • Strong solution architecture mindset
  • Experience with training and inference of large-scale AI models
  • Knowledge of advanced model optimization techniques
  • Solid understanding of LLMs and Genai ecosystems
  • Hands-on experience with RAG (Retrieval-Augmented Generation), AI agent development

Other signals

  • Leverage LLMs to summarize and build large scale applications
  • Experience with training and inference of large-scale AI models
  • Hands-on experience with RAG (Retrieval-Augmented Generation), AI agent development