Hybrid Distinguished Data Scientist – Associate AI Experience

at Walmart

• Job title: Distinguished Data Scientist – Associate AI Experience
• Job type: Full Time
• Experience level: Junior, Mid level
• Salary: $130,000 - $260,000 per year
• Degree requirement: Postgraduate Degree
• Tech skills: AWS, BigQuery, Cloud, Docker, Google Cloud Platform, Numpy, Pandas, Python, PyTorch, Scikit-Learn
• Location requirements: Hybrid, Bentonville, United States

About the role

• Distinguished Data Scientist providing technical leadership for next-generation AI systems at Walmart. Driving system design and advanced solution development for impactful machine learning applications at scale.

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.

Requirements

• Masters degree in Statistics, Economics, Mathematics, Computer Science, Information Technology, or related field AND 8+ years’ experience in data science or Machine Learning roles with demonstrated impact.
• 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.

Benefits

• Health benefits include medical, vision and dental coverage.
• Financial benefits include 401(k), stock purchase and company-paid life insurance.
• Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
• Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
• Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities.