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Open nowPosted 2 days ago

(USA) Staff, Data Scientist

Walmart Global Tech16,960 open roles

Where
(USA) Transitional Office AR BENTONVILLE Home Office
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Your applicationOpen now(USA) Staff, Data ScientistWalmart Global Tech · (USA) Transitional Office AR BENTONVILLE Home Office

  1. YouYes, apply to this one.

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Walmart Global Tech postings stay open a median of 27 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 2 days ago

Walmart Global Tech median: 27 days open

The posting

Position Summary...

What you'll do...

Staff Data Scientist

About the team:

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.

Position Summary

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.

What You’ll Do

  • Design, build, and deploy production scale ML and AI solutions for complex Finance problems across 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.

What You’ll Bring

  • 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.

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. 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. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.

For information about PTO, see https://one.walmart.com/notices.

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. Benefits are subject to change and may be subject to a specific plan or program terms.

For information about benefits and eligibility, see One.Walmart.

The annual salary range for this position is $110,000.00 - $220,000.00

Additional compensation includes annual or quarterly performance bonuses.

Additional compensation for certain positions may also include :

- Stock

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: 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...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no 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. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Primary Location...

2914 Se I St, Bentonville, AR 72712-3148, United States of America

Walmart 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.

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