Staff, Data Scientist Experimentation & Measurement

Walmart

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profile Job Location:

Bentonville, AR - USA

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

Position Summary...

We are seeking a highly skilled Staff Data Scientist to join the Decision Sciences team at Walmart supporting US Store this role you will lead advanced analytics experimentation and measurement efforts that enable data-driven decisions across store operations initiatives. You will partner with business and technical stakeholders to define success metrics evaluate impact and generate insights that improve operational outcomes.

A key part of this role is supporting and enhancing the experimentation and measurement platform developed by the team with a focus on automation scale and usability. The ideal candidate combines strong statistical and machine learning expertise with business acumen platform thinking and the ability to influence across functions. This role also requires going beyond experiment readouts by conducting deep dives that help the business understand the true impact of initiatives what drove value what did not and what actions should be taken next.

What youll do...

Responsibilities

  • Partner with US Store Operations and cross-functional stakeholders toidentifyhigh-impact problems and translate them into experimentation measurement and analytical solutions.

  • Design and interpret experiments and measurement frameworks including defining success metrics KPIs and guardrails for key initiatives.

  • Apply causal inference statistical modeling and machine learning to evaluate impact and generate actionable insights.

  • Conduct post-experiment deep dives to understand true business impactidentifyvalue drivers anddeterminewhat worked what did not and the best next course of action.

  • Analyze changes in key metrics and perform root-cause analyses to uncover opportunities for operational improvement.

  • Enhance the teams experimentation and measurement platform through automation scalability and improved analytical rigor.

  • Communicate findings and recommendations clearly to business and technical stakeholders including seniorleadership.

Qualifications

  • Masters or PhD in Statistics Mathematics Computer Science Economics Operations Research or a related quantitative field.

  • 5 years of experience in data science decision science experimentation or advanced analytics roles.

  • Strongexpertisein experimentation A/B testing quasi-experimental methods and causal inference.

  • Hands-on experience building and applying statistical predictive and machine learning models to solve business problems.

  • Strong programming skills in Python and SQL with experience writing production-quality scalable and maintainable analytical code.

  • Experience building analytical frameworks and translating ambiguous business problems into measurable solutions.

  • Familiarity with data visualization and storytelling tools to communicate insights effectively.

  • Strong stakeholder management and communication skills with the ability to influence decisions across business and technical teams.

  • Ability tooperatein a fast-paced environment manage multiple priorities and deliver high-quality work with urgency.

Preferred Qualifications

  • Experience in retail store operations supply chain or other operational business environments.

  • Experience contributing to or enhancing internal data science platforms experimentation platforms or measurement systems.

  • Experience with workflow automation scalable analytical tooling or decision-support systems.

  • Exposure to orhands-on experience with agent-based systems AI agents or LLM-enabled workflow automation.

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 Walmarts accessibility standards and guidelines for supporting an inclusive culture.

Primary Location...

802 Respect Dr Bentonville AR 72716 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.

Required Experience:

IC

Position Summary...We are seeking a highly skilled Staff Data Scientist to join the Decision Sciences team at Walmart supporting US Store this role you will lead advanced analytics experimentation and measurement efforts that enable data-driven decisions across store operations initiatives. You wil...
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About Company

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Walmart started with one man. In 1962, Sam Walton began with just one store and one mission: help people save money so they could live better. As a growing global digital enterprise and with over 11,500 stores, we maintain Mr. Sam’s vision, but now, we are able to help more customers ... View more

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