Principal, Data Scientist

Walmart · Retail · Bentonville, AR

Principal Data Scientist at Walmart to lead AI/ML initiatives for operational decision-making, focusing on designing, prototyping, scaling, and implementing ML/AI solutions. The role involves collaboration with cross-functional teams, improving data science processes, and driving business impact through associate efficiency and strategic alignment. Experience with GenAI, agentic AI, Causal Inference, and MLOps is required.

What you'd actually do

  1. Apply broad knowledge of ML/AI, Operation Research, GenAI and agentic AI to identify growth areas, new and emerging opportunities. Conducts research by studying organization goals, strategies, practices, and user projects. Recommends strategies by evaluating organization outcomes; identifying problems; evaluating trends; anticipating requirements.
  2. Influence a team of Data Scientists focused on powering AI/ML solutions within the scope of associate work prioritization, workforce planning and retention strategies.
  3. Partner closely with other Data Science, product, and engineering teams to inform, drive and accelerate innovations in discovery experiences via Insights, frameworks, causal inference solutions and machine learning prototypes.
  4. Execution and showing the value of an approach with quick prototyping: data collection, model prototyping, with responsibilities encompassing stakeholder management and communication to cross-functional partners.
  5. Collaborate with tech data science and engineering teams to create, build, and deploy data science algorithms continuously test and monitor drifts.

Skills

Required

  • Python
  • Large-scale training
  • data structures
  • algorithms
  • cloud environments (Azure, Google Cloud)
  • MLOps practices
  • unit testing
  • integration testing
  • source code control (git)
  • agile methodologies
  • JIRA

Nice to have

  • Agentic AI
  • Bayesian Networks
  • Operations Research methods
  • Spark
  • Scala
  • R
  • Machine Learning
  • Computer Science
  • Information Technology
  • Operations Research
  • Statistics
  • Applied Mathematics
  • Econometrics
  • Publications

What the JD emphasized

  • large-scale ML/AI solutions
  • Causal Inference
  • Agentic AI experience is a plus
  • MLOps practices

Other signals

  • lead AI and machine learning (ML) initiatives
  • designing and prototyping advanced ML/AI solutions
  • scale and implement these models
  • improving the efficiency and effectiveness of data science processes