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About the role
- Data Scientist building production ML systems and deploying autonomous AI agents for Walmart. Collaborating across teams to drive business insights from complex data and enhance operational efficiency.
Responsibilities
- Build and deploy production ML systems end‑to‑end, including data pipelines, feature stores, model training, serving layers, monitoring, and feedback loops at scale.
- Architect and deploy autonomous AI agents, including conversational assistants, predictive agents with tool calling, and multi‑agent orchestration systems using LangChain, Pydantic AI, and RAG patterns.
- Design agentic evaluation frameworks to benchmark agent performance across task completion, code quality, and multi‑step reasoning accuracy.
- Deploy NLP pipelines at enterprise scale, enabling semantic similarity across millions of records using BERT/SBERT embeddings and vector search (FAISS).
- Engineer computer vision systems for real‑time inference (YOLO, RT‑DETR, CLIP) with multi‑GPU training optimization.
- Build time‑series forecasting models that drive inventory optimization, demand planning, and financial projections across multiple geographies.
- Present insights to senior leadership using compelling data visualizations, quantified business impact, and clearly defined confidence intervals.
- Mentor team members on advanced modeling techniques, feature engineering, and experimental design.
- Travel internationally to support Walmart operations in Canada, Chile, Mexico, South Africa, Europe, and the UK.
Requirements
- Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field.
- Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field.
- Option 3: 7 years' experience in an analytics or related field.
- 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 across AWS SageMaker and GCP (Vertex AI, BigQuery, BigQuery ML).
- Strong Python skills (Pandas, NumPy, scikit‑learn), containerization expertise (Docker), and MLOps best practices.
- Advanced knowledge of statistical analysis, experimental design, and causal inference.
- Proven ability to translate complex analytical results into clear, actionable 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.
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