Senior, Data Scientist

Walmart · Retail · Bentonville, AR

Senior Data Scientist to design, develop, and implement production-grade Agentic AI and advanced machine learning solutions at enterprise scale. Responsibilities include owning the full data science lifecycle, building predictive/optimization/experimental solutions, developing data pipelines, communicating findings, and collaborating with cross-functional teams. Requires proven experience building and deploying Agentic AI/ML models, strong Python/SQL skills, and experience with large datasets and production data pipelines.

What you'd actually do

  1. Own the full data science lifecycle from problem framing and data discovery through modeling, evaluation, deployment, and monitoring.
  2. Build robust predictive, optimization, and experimental solutions using modern ML and statistical methods, then iterate based on offline and online performance.
  3. Develop reliable data pipelines and features in partnership with data engineering, and uphold data quality, governance, and scalability standards.
  4. Communicate findings with compelling narratives and visualizations for technical and non-technical audiences, including leadership.
  5. Collaborate in cross-functional squads with product, engineering, analytics, and operations to launch and improve ML solutions in production.

Skills

Required

  • Python
  • SQL
  • ML libraries
  • open-source frameworks
  • large datasets
  • distributed compute
  • production data pipelines
  • structured problem solving

Nice to have

  • ADK
  • LangGraph
  • scikit-learn
  • PyTorch
  • TensorFlow
  • performance tuning
  • validation
  • A/B testing
  • publications

What the JD emphasized

  • production-grade Agentic AI
  • Agentic AI
  • deploying Agentic AI, OR and ML models

Other signals

  • production-grade Agentic AI
  • enterprise scale
  • full data science lifecycle
  • deploying Agentic AI, OR and ML models