(USA) Distinguished, Data Scientist

About the role

The Role:

• Provides technical leadership and long-term vision for next-generation AI systems and platforms.
• Drives breakthrough system design and advanced solution development that transforms Walmart at scale.
• Combines deep technical expertise (ML, simulation, optimization, agentic AI) with cross-functional influence, mentoring of senior talent, and delivery of high-impact, productionized solutions.

What you'll do

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.
• 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

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

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

Preferred Qualifications:

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