Staff Data Scientist

Walmart

. Design, build, and deploy production-scale ML and AI solutions for Finance problems involving invoices, claims, payments, and audit data .

Posted 10/22/2026full-timeBentonville • United StatesLead💰 $110,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying machine learning and AI solutions for financial applications, with strong capabilities in model evaluation, anomaly detection, and integration with enterprise tools. Proficient in Python and SQL, with a solid understanding of MLOps practices and cloud-based platforms.

Highest-signal resume keywords

Machine Learning Solutions DevelopmentAnomaly Detection TechniquesLarge Language Models (LLMs)Data Preparation and Feature EngineeringStatistical Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatistical ModelingData SciencePythonSQLFeature EngineeringModel EvaluationAnomaly DetectionClusteringClassification

Soft Skills

Problem-SolvingCommunication

Tools & Technologies

MLOpsCloud-Based ML PlatformsLangGraphGoogle ADKVector DatabasesEnterprise Tool Integration

Industry Keywords

FinanceAnalyticsAI SolutionsProduction DeploymentData Engineering

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Design, build, and deploy production-scale ML and AI solutions for Finance problems involving invoices, claims, payments, and audit data
Develop and evaluate supervised and unsupervised models for anomaly detection, classification, clustering, ranking, prediction, and statistical analysis
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 single-agent and multi-agent systems
Develop evaluation approaches for ML and agentic AI systems, including 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
Communicate analytical findings, model behavior, and business impact to technical and business stakeholders

Requirements

What you’ll need

Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field; or Master's degree in one of these fields and 2 years' experience; or 6 years' experience in an analytics or related field
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
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
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 ability to translate complex business problems into scalable analytical solutions

Benefits

Comp & perks

Performance-based bonus awards
Medical, vision and dental coverage
401(k)
Stock purchase
Company-paid life insurance
PTO, including sick leave
Parental leave
Family care leave
Bereavement leave
Jury duty leave
Voting leave
Short-term and long-term disability
Company discounts
Military Leave Pay
Adoption and surrogacy expense reimbursement
Walmart-paid education benefit program covering tuition, books, and fees for eligible programs
English Language Learning, high school completion, bachelor's degree, and short-form certificate programs through Live Better U
Stock compensation may be included for certain positions