Distinguished Data Scientist: Associate AI Experience

About the role

We are seeking a Distinguished 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.

What you'll do

• 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
• 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

What You’ll Bring

• 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

Minimum Qualifications

• 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

Preferred Qualifications

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

Additional Compensation

• Annual or quarterly performance bonuses
• Stock options

Benefits

• Competitive pay
• Performance-based bonus awards
• Health benefits including medical, vision, and dental coverage
• Financial benefits including 401(k), stock purchase, and company-paid life insurance
• Paid time off benefits including PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting
• Short-term and long-term disability
• Company discounts
• Military Leave Pay
• Affordability and financial wellness programs
• Short-term and long-term disability
• Company discounts
• Military Leave Pay
• Affordability and financial wellness programs

Location

• Bentonville, Arkansas US-10735: The annual salary range for this position is $130,000.00 - $260,000.00
• Bellevue, Washington US-11663: The annual salary range for this position is $156,000.00 - $312,000.00
• Sunnyvale, California US-08479: The annual salary range for this position is $169,000.00 - $338,000.00