Senior Data Scientist providing technical leadership and vision for next-generation AI systems at Walmart. Driving advanced solution development to transform operations globally.
Responsibilities
Architect end-to-end ML/AI systems — from feature engineering through production deployment and monitoring.
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 visionand 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, experiemention, 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
Experience building and deploying AI/ML solutions in production environments.
Strong profiency in Python and common ML libraries (scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow).
Demonstrated AI/ML engineering experience: Pipeline orchestration (Airflow, Dagster, Prefect) Model packaging/serving (FastAPI, BentoML, TorchServe) Containerization and deployment (Docker, Kubernetes) CI/CD and testing practices for AI/ML Monitoring, observability (model metrics, drift, loggin)
Solid understanding of statistics, experimental design, and causal/measurement thinking.
Experience with agentic AI / LLM systems including: Tool/function calling and agent orchestration framework (LangGraph/LangChain, Semantic Kernel, LlamaIndex, custom orchestrators).
Prompt strategies, structured outputs, and reliability techniques RAG design and optimization.
LLM/agent evaluation methodologies Strong SQL skills and experience working with large-scale datasets.
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 3+ years’ experience in data science or Machine Learning roles with demonstrated impact.
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.
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes.
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment.
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