Senior Data Scientist: Associate AI Experience

Walmart · Retail · Bentonville, AR +2

Senior Data Scientist role focused on architecting and deploying large-scale AI systems and autonomous AI agents, including conversational assistants and predictive agents with tool-calling. The role involves end-to-end ML system development, from data pipelines to monitoring, with a focus on agentic AI, reinforcement learning, and simulation. It requires technical leadership, mentoring, and delivery of productionized solutions within an enterprise AI context.

What you'd actually do

  1. Build and deploy production ML systems end-to-end: data pipelines, feature stores, model training, serving layers, monitoring, and feedback loops at scale
  2. Provide technical visionand lead advanced development in agentic AI, reinforcement learning, and simulation.
  3. Architect and deploy large-scale AI systems and autonomous AI agents — conversational assistants, predictive agents with tool-calling, and multi-agent orchestration systems using LangChain, Pydantic AI, and RAG patterns
  4. Design agentic evaluation frameworks that benchmark agent performance across task completion, code quality, and multi-step reasoning accuracy
  5. Deploy NLP pipelines at enterprise scale — semantic similarity across millions of records using BERT/SBERT embeddings and vector search (FAISS)

Skills

Required

  • Python
  • scikit-learn
  • XGBoost/LightGBM
  • PyTorch/TensorFlow
  • Airflow
  • Dagster
  • Prefect
  • FastAPI
  • BentoML
  • TorchServe
  • Docker
  • Kubernetes
  • CI/CD
  • testing practices for AI/ML
  • Monitoring
  • observability
  • statistics
  • experimental design
  • causal/measurement thinking
  • LangGraph/LangChain
  • Semantic Kernel
  • LlamaIndex
  • custom orchestrators
  • Prompt strategies
  • structured outputs
  • reliability techniques
  • RAG design and optimization
  • LLM/agent evaluation methodologies
  • SQL
  • large-scale datasets
  • Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field AND 3+ years’ experience in data science or Machine Learning roles

Nice to have

  • PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied Mathematics, Econometrics, or related field with relevant industry experience

What the JD emphasized

  • built and shipped multiple autonomous AI agents
  • Level 5+ on Steve Yegge’s Vibe Coding scale
  • production ML systems end-to-end
  • autonomous AI agents
  • agentic AI
  • multi-agent AI systems
  • agentic evaluation frameworks
  • production environments
  • agentic AI / LLM systems
  • LLM/agent evaluation methodologies

Other signals

  • architect and deploy large-scale AI systems and autonomous AI agents
  • build and deploy production ML systems end-to-end
  • provide technical leadership and long-term vision for next-generation AI systems and platforms