Senior, Data Scientist

Walmart Walmart · Retail · Bentonville, AR

Senior Data Scientist role focused on designing, building, and deploying machine learning and agentic AI solutions. Responsibilities include end-to-end model development, leveraging modern ML techniques and agentic patterns, and applying MLOps best practices. Requires strong statistical foundations, hands-on experience with LLMs and agent frameworks, and mentoring capabilities.

What you'd actually do

  1. The Senior Data Scientist designs, builds, and deploys machine learning and agentic AI solutions that drive measurable business outcomes.
  2. This role partners with product, engineering, and business stakeholders to translate ambiguous problems into scalable data products, leveraging modern ML techniques (supervised/unsupervised learning, NLP/LLMs, forecasting, and optimization) and agentic patterns (tool use, planning, multi-step reasoning, and workflow orchestration).
  3. The Senior Data Scientist is accountable for end-to-end model development—from data exploration and feature engineering to evaluation, productionization, monitoring, and continuous improvement—while ensuring responsible, secure, and reliable AI practices.
  4. Key strengths include strong statistical and ML foundations, hands-on experience with LLMs and agent frameworks, building robust data pipelines, and applying MLOps best practices (CI/CD, model registry, observability, drift detection, and retraining).
  5. The role requires excellent communication skills to explain model behavior, tradeoffs, and impact to technical and non-technical audiences, and the ability to mentor peers while influencing technical direction across teams.

Skills

Required

  • Machine learning
  • Agentic AI
  • LLMs
  • Agent frameworks
  • Data exploration
  • Feature engineering
  • Model evaluation
  • Productionization
  • Monitoring
  • Continuous improvement
  • MLOps
  • CI/CD
  • Model registry
  • Observability
  • Drift detection
  • Retraining
  • Statistical foundations
  • Data pipelines
  • Communication skills
  • Mentoring

Nice to have

  • supervised learning
  • unsupervised learning
  • NLP
  • forecasting
  • optimization
  • tool use
  • planning
  • multi-step reasoning
  • workflow orchestration

What the JD emphasized

  • agentic AI solutions
  • agentic patterns
  • LLMs and agent frameworks
  • end-to-end model development
  • MLOps best practices

Other signals

  • end-to-end model development
  • MLOps best practices
  • agentic AI solutions
  • LLMs and agent frameworks