Position Summary...
What you'll do...
Immigration sponsorship is not available for this role.
The Staff Data Scientist will leverage advanced analytics, machine learning, and data visualization techniques to deliver actionable insights that support strategic business decisions. This role involves identifying and sourcing relevant data, developing and validating statistical, predictive models, and collaborating with cross-functional teams to translate complex data into clear, impactful solutions. The position requires expertise in programming, statistical analysis, and data strategy to optimize model deployment and scalability. The successful candidate will contribute to continuous improvement initiatives and mentor team members while aligning data-driven outcomes with organizational goals.
About the Team:
The Merchandising Analytics team at Sam's Club delivers data-driven insights and strategic guidance to support Merchants in making informed decisions. This team combines advanced analytics, automation tools, and strategic thinking to drive growth and optimize merchandising performance. Focused on translating complex data into actionable outcomes, the team collaborates across functions to identify opportunities and enhance member understanding. By fostering reliability and forward-thinking analytics, the team plays a key role in shaping the future of merchandising, ensuring data informs strategies that strengthen Sam's Club's leadership in retail.
What Y ou'll Do:
Identify and source relevant data from multiple business domains and distributed data stores to support analytics initiatives.
Perform initial data quality assessments and ensure data meets business requirements and governance standards.
Develop, validate, and tune predictive models using advanced statistical and machine learning techniques to solve complex business problems.
Create clear and impactful data visualizations to communicate insights and model outcomes to stakeholders.
Collaborate with cross-functional teams to translate business needs into data-driven solutions and actionable recommendations.
Deploy and monitor models in production, ensuring scalability and performance alignment with defined metrics.
Mentor team members on analytical methods, coding best practices, and data science workflows.
Bridge business and analytics by applying a consultative mindset to data science problems-evaluate whether a problem is worth solving, assess downstream impacts, and ensure solutions align with broader business goals.
Design and implement advanced recommendation and assortment models tailored to merchant behaviors, with a focus on quality and pricing optimization across diverse product categories.
Develop sophisticated anomaly detection and clustering models that uncover patterns, inflection points, and root causes-delivering actionable insights quickly and accurately for specific categories.
Build isolation matrices and causal inference frameworks to drive data-driven decision-making and uncover hidden drivers of business performance.
Will be a hands-on technical leader, quickly identifying the right algorithms and approaches to solve complex problems and delivering high-impact solutions with speed and precision.
What Y ou'll Bring:
Proven expertise in predictive analytics, machine learning algorithms, and advanced statistical methods to solve complex business problems.
Proficiency in Python programming and data visualization tools such as Matplotlib, Plotly, Tableau, or PowerBI.
Strong knowledge of data strategy, data quality standards, and data governance principles within large-scale data ecosystems.
Experience in exploratory data analysis, feature engineering, and model assessment using techniques like ROC curve and hypothesis testing.
Ability to deploy, monitor, and scale machine learning models in production environments with MLOps best practices.
Solid understanding of business @context across multiple domains to translate requirements into actionable data solutions.
Proficiency in Databricks, GCP, Big Query, and Google ADK.
Preferred Experience and Qualifications:
10+ years of experience.
PhD in quantitative disciplines (e.g., Statistics, Computer Science, Applied Math) strongly preferred.
Data science experience specific to the retail and/or merchandising space.
AI and LLM experience.
About Sam's Club:
Sam Walton opened the first Sam's Club in 1983 to meet a growing need among customers who wanted to buy merchandise in bulk. Since then, Sam's Club has grown rapidly, opening more than 600 clubs in the U.S. and 100 clubs internationally. By offering affordable, wholesale merchandise to members, Sam's Club helps make saving simple for families and small business owners. Sam's Club employs about 110,000 associates in the U.S. The average club is 134,000 square feet and offers bulk groceries and general merchandise. Most clubs also have specialty services, such as a pharmacy, an optical department, a photo center, or a tire and battery center.
Future Ways of Working:
Our company's success can be attributed to our employees. While technology has allowed us to be effective while working remotely, there is no substitute for being in the office together; it helps to shape our culture, collaborate, innovate, build relationships, and move more quickly. We strive to provide flexibility in order to promote a healthy work-life balance but recognize that in-person interactions are important to our culture and shared success. We'll meet in person on a regular and purposeful basis.
Benefits:
Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Equal Opportunity Employer:
Sam's Club is an Equal Opportunity Employer - by choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas and opinions while being welcoming of all people.
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
LI-onsite
At Sam's Club, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet!
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Health benefits include medical, vision and dental coverage
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Financial benefits include 401(k), stock purchase and company-paid life insurance
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Paid time off benefits include PTO, parental leave, family care leave, bereavement, jury duty, and voting. 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.
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For information about PTO, see https://one.walmart.com/notices .
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Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
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Live Better U is a company 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.
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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.
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For information about benefits and eligibility, see One.Walmart (https://bit.ly/3iOOb1J) .
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The annual salary range for this position is $110,000.00-$220,000.00
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Additional compensation includes annual or quarterly performance bonuses.
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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...
2101 Se Simple Savings Dr, Bentonville, AR 72712-4304, 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.
Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.
