(USA) Staff, Data Scientist

Walmart • Bentonville, AR

1d • $110,000 - $220,000

About The Position

Walmart’s Finance Technology team builds intelligent solutions supporting Accounts Payable (AP), Post Payment Audit (PPA), and Cerebro. It combines data science, data engineering, software engineering, and business expertise to identify financial anomalies, uncover root causes, improve audit effectiveness, and automate financial decision-making. The team aims to transform large-scale financial and operational data into actionable intelligence and measurable business outcomes.

Walmart is seeking a hands-on Staff Data Scientist with strong experience in machine learning, Generative AI, and production AI systems. The role designs and delivers scalable ML and agentic AI solutions across Accounts Payable, Post Payment Audit, and financial analytics. It combines advanced applied ML, including supervised and unsupervised learning, with reliable LLM applications and agentic workflows. The successful candidate will take complex business problems from data exploration and experimentation through production deployment and measurable business impact.

Requirements

• Strong hands-on experience in data science, machine learning, statistical modeling, and applied AI.
• Experience building and deploying supervised and unsupervised ML solutions, including anomaly detection, classification, clustering, feature engineering, experimentation, model evaluation, and explainability.
• Experience developing production ML solutions, including data preparation, feature engineering, training, batch scoring or serving, monitoring, and feedback loops.
• Experience with LLMs, RAG, semantic retrieval, vector databases, hybrid keyword and semantic search, reranking, structured outputs, tool integration, and agentic workflows.
• Experience with agent orchestration frameworks such as LangGraph, Google ADK, or equivalent, including tool integration, workflow state, and evaluation.
• Experience connecting AI applications to enterprise tools, data, and services through MCP or comparable tool-integration patterns.
• Experience evaluating AI systems for quality, groundedness, reliability, and safe behavior.
• Advanced Python and SQL skills, with experience using modern ML frameworks and large-scale transactional, financial, or operational datasets.
• Familiarity with MLOps practices, cloud-based ML and AI platforms, and production deployment patterns.
• Strong problem-solving skills and the ability to translate complex business problems into scalable analytical solutions.
• Meet one of the minimum qualification options: a bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and 4 years of experience in an analytics-related field; a master’s degree in one of those fields or a related field and 2 years of analytics-related experience; or 6 years of experience in an analytics or related field.

Nice To Haves

• Data science, machine learning, or optimization-model experience.
• PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics.
• Successful completion of one or more assessments in Python, Spark, Scala, or R.
• Experience using open-source frameworks such as scikit-learn, TensorFlow, or Torch.
• Background creating inclusive digital experiences, with knowledge of WCAG 2.2 AA standards, assistive technologies, digital accessibility best practices, and Walmart accessibility standards and guidelines.

Responsibilities

• Design, build, and deploy production-scale ML and AI solutions for complex Finance problems involving invoices, claims, payments, and audit data.
• Develop and evaluate supervised and unsupervised models, including anomaly detection, classification, clustering, ranking, prediction, and statistical methods.
• Build root cause analysis, signal correlation, and explainability techniques for financial anomalies, exceptions, and audit findings.
• Build LLM applications, RAG experiences, tool-calling workflows, and reliable agentic systems, including single-agent and multi-agent workflows where appropriate, that safely use approved knowledge, data, and analytical capabilities.
• Develop evaluation approaches for ML and agentic AI systems, including model performance, task completion, groundedness, tool-use accuracy, safety, and failure behavior.
• Partner with Data Engineering and Software Engineering to productionize, monitor, explain, retrain, and maintain ML and AI solutions.
• Contribute to technical design, reusable implementation patterns, and documentation for ML and AI solutions.
• Communicate analytical findings, model behavior, and business impact clearly to technical and business stakeholders.

Benefits

• Competitive pay and performance-based bonus awards.
• Medical, vision, and dental coverage.
• 401(k).
• Stock purchase plan and possible stock compensation for certain positions.
• Company-paid life insurance.
• Paid time off, including sick leave, parental leave, family care leave, bereavement, jury duty, and voting leave.
• Short-term and long-term disability.
• Company discounts.
• Military Leave Pay.
• Adoption and surrogacy expense reimbursement.
• Live Better U education benefit program for eligible full-time and part-time associates, including tuition, books, and fees for covered programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior