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Principal Data Scientist: Associate AI experience

WalmartBentonville, AR
Onsite

About The Position

We are seeking a Principal Data Scientist to provide technical leadership and long-term vision for next-generation AI systems and platforms. This senior individual contributor will drive breakthrough system design and advanced solution development that transforms Walmart at scale. The role combines deep technical expertise (ML, simulation, optimization, agentic AI) with cross-functional influence, mentoring of senior talent, and delivery of high-impact, productionized solutions. A great fit for those who can architect end-to-end ML/AI systems, have built and shipped multiple autonomous AI agents, can ship production systems through AI-assisted development, and combine deep statistical rigor with practical business impact. The Associate AI Experiences team applies advanced data science, machine learning, and agentic AI to solve high-impact business problems across Walmart globally. The team builds production Agentic systems, deploys autonomous AI agents, and translates complex data into actionable insights that drive measurable business value at massive scale. They build intelligent platforms, agents and ML-powered solutions that make associates’ jobs easier, faster, and more fulfilling across stores, fulfillment centers, distribution centers, and home office. The team leverages the Element LLM Gateway for state-of-the-art language models and their work spans NLP, computer vision, time series forecasting, and multi-agent AI systems at enterprise scale.

Requirements

  • Deep expertise in ML algorithms (XGBoost, CatBoost, LightGBM, Random Forest, AutoML) and deep learning (PyTorch, transformer architectures)
  • Production experience with NLP (BERT, SBERT, FAISS, RAG), computer vision (YOLO, CLIP), and time series forecasting (ARIMA, Prophet)
  • Hands-on experience building and orchestrating multiple AI agents with LangChain, RAG, tool integration, and memory management
  • Multi-cloud ML platform proficiency — AWS SageMaker AND GCP (Vertex AI, BigQuery, BigQuery ML)
  • Strong Python skills (Pandas, NumPy, Scikit-learn) with containerization (Docker) and MLOps practices
  • Advanced statistical analysis, experiment design, and causal inference
  • Experience deploying production-grade AI systems at scale
  • Ability to translate complex analytical results into clear business recommendations for non-technical stakeholders
  • Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field AND 5+ years’ experience in data science or Machine Learning roles with demonstrated impact
  • Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field
  • Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field
  • 7 years' experience in an analytics or related field

Nice To Haves

  • PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied Mathematics, Econometrics, or related field with relevant industry experience
  • Data science, machine learning, optimization models
  • Publications or active peer reviewer in related journals or conference
  • Successful completion of one or more assessments in Python, Spark, Scala, or R
  • Using open source frameworks (for example, scikit learn, tensorflow, torch)
  • Knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly
  • Knowledge of accessibility best practices and Walmart’s accessibility standards and guidelines for supporting an inclusive culture

Responsibilities

  • Build and deploy production ML systems end-to-end: data pipelines, feature stores, model training, serving layers, monitoring, and feedback loops at scale
  • Provide technical vision and lead advanced development in agentic AI, reinforcement learning, and simulation
  • 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
  • Design agentic evaluation frameworks that benchmark agent performance across task completion, code quality, and multi-step reasoning accuracy
  • Deploy NLP pipelines at enterprise scale — semantic similarity across millions of records using BERT/SBERT embeddings and vector search (FAISS)
  • Lead high-impact projects end-to-end; problem framing, modeling, prototyping, production architecture, and rollout
  • Author and review technical designs and standards; present findings to senior leadership
  • Mentor senior scientists and engineers on advanced modeling techniques, feature engineering, and experimentation design - raising the technical bar across teams
  • Establish best practices for model validations, experimentation, and safe deployment of AI systems
  • Influence roadmap prioritization and long-term strategy for AI and simulation capabilities
  • Present insights to senior leadership with compelling data visualization, quantified business impact, and clear confidence intervals

Benefits

  • Competitive pay
  • Performance-based bonus awards
  • Medical coverage
  • Vision coverage
  • Dental coverage
  • 401(k)
  • Stock purchase
  • Company-paid life insurance
  • PTO (including sick leave)
  • Parental leave
  • Family care leave
  • Bereavement
  • Jury duty
  • Voting leave
  • Short-term disability
  • Long-term disability
  • Company discounts
  • Military Leave Pay
  • Adoption and surrogacy expense reimbursement
  • Walmart-paid education benefit program (Live Better U) for full-time and part-time associates in Walmart and Sam's Club facilities, covering tuition, books, and fees for programs ranging from high school completion to bachelor's degrees, including English Language Learning and short-form certificates
  • Annual or quarterly performance bonuses
  • Stock

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