(usa) Senior, Data Scientist

Walmart Walmart · Retail · Bentonville, AR +1

Senior Data Scientist role focused on building production-grade intelligent systems using agentic coding tools and frameworks. The role involves designing, prototyping, implementing, testing, evaluating, deploying, and improving software solutions that solve business and technical problems, with an emphasis on multi-agent workflows, evaluation frameworks, and AI-native application development.

What you'd actually do

  1. Use agentic coding tools , frameworks and techniques such as MCP, A2A, ADK, and frameworks to accelerate how solutions are developed, tested, and iterated.
  2. Contribute to agent evaluation frameworks (offline + online) to measure quality, reliability, and system behavior.
  3. Contribute to multi-agent workflows with coordination, delegation, and dynamic task execution.
  4. Ensure operational excellence and build observability, debugging, and traceability in AI-driven systems.
  5. Contribute to shaping practices for AI-native application development.

Skills

Required

  • Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field OR Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field OR 5 years' experience in an analytics or related field.

Nice to have

  • Data science
  • machine learning
  • optimization models
  • Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics
  • Successful completion of one or more assessments in Python, Spark, Scala, or R
  • Using open source frameworks (for example, scikit learn, tensorflow, torch)
  • We value candidates with a background in creating inclusive digital experiences
  • Expertise working on agent workflows, orchestration layers, and evaluation processes.
  • Familiarity with protocol-driven systems (e.g., MCP or similar abstractions
  • Interest in deeply understanding business problems, rapid prototyping, and end-to-end, full stack development
  • Track record of building solutions quickly and iterating based on real feedback.

What the JD emphasized

  • Expertise in using Agentic coding tools and frameworks to build production systems.
  • Comfort working in open-ended problem spaces with evolving requirements
  • Strong ownership mindset with a focus on shipping, learning, and improving systems continuously.
  • Expertise working on agent workflows, orchestration layers, and evaluation processes.

Other signals

  • building production grade software
  • agentic coding tools and frameworks
  • multi-agent workflows
  • AI-native application development