Data Scientist / Machine Learning Scientist

Staff Data Scientist

Our Finance Technology team builds intelligent solutions supporting Accounts Payable (AP), Post Payment Audit (PPA), and Cerebro. We combine data science, data engineering, software engineering, and business expertise to identify financial anomalies, uncover root causes, improve audit effectiveness, and automate financial decision-making. Our goal is to transform large-scale financial and operational data into actionable intelligence and measurable business outcomes.
We are seeking a hands-on

Staff Data Scientist

with strong experience in machine learning, Generative AI, and production AI systems. This person will design and deliver scalable ML and agentic AI solutions across Accounts Payable, Post Payment Audit, and financial analytics.
The role 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.

Design, build, and deploy production scale ML and AI solutions for complex Finance problems across invoices, claims, payments, and audit data.
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.
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.
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. 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. For information about PTO, see

Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sams Club facilities. Programs range from high school completion to bachelors degrees, including English Language Learning and short-form certificates. The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Stock

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Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years experience in an analytics related field. Option 3: 6 years experience in an analytics or related field

Preferred Qualifications...
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. 2914 Se I St, Bentonville, AR , United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.