Staff, Data Scientist

Walmart · Retail · Bentonville, AR

Staff Data Scientist at Walmart's Sam's Club Applied AI Labs focused on advancing GenAI and Agentic AI for in-club operations. The role involves designing, developing, and deploying AI agents capable of reasoning and task orchestration, leveraging LLMs, prompt engineering, and fine-tuning. The goal is to create scalable, reusable AI solutions that improve operational efficiency and enhance member interactions across the enterprise.

What you'd actually do

  1. Identify and source relevant data from multiple business domains, ensuring data quality and suitability for analysis.
  2. Develop and implement data strategies aligned with business objectives to unlock value from data assets.
  3. Design, test, and validate predictive models using advanced statistical and machine learning techniques.
  4. Create clear and impactful data visualizations to communicate insights to stakeholders effectively.
  5. Collaborate with cross-functional teams to translate business problems into data-driven solutions.

Skills

Required

  • Python
  • SQL
  • machine learning
  • statistical modeling
  • deep learning
  • causal inference
  • LLMs
  • prompt engineering
  • fine-tuning
  • agent orchestration frameworks
  • ML pipelines
  • cloud environments
  • modern ML frameworks
  • distributed data platforms

Nice to have

  • applying AI to large-scale operational or retail environments
  • patents
  • publications
  • unique applications

What the JD emphasized

  • AI agents capable of reasoning, orchestrating tasks, and dynamically adjusting to real-world signals
  • next-generation machine learning, GenAI, and agentic AI systems
  • adapt, reason, and act
  • Hands-on experience with LLMs, prompt engineering, fine-tuning, and agent orchestration frameworks

Other signals

  • Scale AI agents capable of reasoning, orchestrating tasks, and dynamically adjusting to real-world signals.
  • Build Reusable Innovation: Develop frameworks that can be leveraged enterprise-wide, fueling AI innovation beyond the club environment.
  • Hands-on experience with LLMs, prompt engineering, fine-tuning, and agent orchestration frameworks.