(USA) Senior Manager, Data Science
(USA) Upstream Building AR Bentonville Home Office Full-time Senior Data Science
At a glance
Senior Data Science role at Walmart. (USA) Upstream Building AR Bentonville Home Office · full-time · $110,000–$220,000 base.
SalaryStated by Walmart
$110,000 – $220,000
Base salary for this role, in USD per year, as published in the posting.
RoleData Science
SenioritySenior
Location(USA) Upstream Building AR Bentonville Home Office
EmploymentFull-time
Base pay$110,000–$220,000
PostedOct 30, 2026
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Assess and refine advanced models, testing their reliability and fit for business needs
- Use Python libraries and Tableau to shape visualizations that make findings clear
- Convert business requirements into data science solutions that can scale and support organizational aims
- Coach colleagues in modeling methods, feature engineering and sound analytical practice
- Launch models in production, then track their performance and scalability over time
What you bring
- Qualify through a related bachelor’s and five years in analytics, a master’s and three years, or seven years of related experience
- Bring extensive experience across data science, machine learning and advanced statistical modeling
- Work proficiently with Python and SQL, plus visualization tools such as Tableau or similar platforms
- Know model testing and tuning, exploratory analysis, feature engineering and production deployment
Who this fits
This senior role suits someone who can lead modeling work, mentor colleagues and explain findings to stakeholders. The primary work location is Bentonville, Arkansas.
From the employer
Position Summary...
What you'll do...
Role summary:As a Senior Manager, Data Science, you will lead advanced analytical initiatives to develop, validate, and deploy robust machine learning models that drive strategic business decisions. This role requires expertise in statistical modeling, data visualization, and programming to translate complex data into actionable insights. You will collaborate cross-functionally to align data solutions with business objectives, mentor team members, and ensure the continuous improvement of data-driven processes. Your leadership will support scalable model deployment and foster innovation to enhance operational efficiency and deliver measurable business impact.
About the team:
The Walmart+ Data Strategy & Analytics team transforms complex data into actionable insights that drive membership growth. This team integrates analytics across acquisition, engagement, and benefit innovation, collaborating closely with business units to shape strategy and execute initiatives. From opportunity sizing and test design to post-launch evaluation, the team ensures rigorous analytics support for informed decision-making. Emphasizing accountability and clear communication, the team delivers measurable results that advance Walmart+ objectives and enhance member experiences through data-driven business analysis and strategic partnership.
What you'll do:
- Lead the assessment, validation, and tuning of advanced data science models to ensure accuracy, robustness, and business relevance.
- Develop and implement data visualization strategies using tools such as Python libraries and Tableau to effectively communicate insights.
- Collaborate with cross-functional teams to translate business requirements into scalable data science solutions aligned with organizational goals.
- Guide and mentor team members on advanced modeling techniques, feature engineering, and best practices in data analysis.
- Oversee deployment and continuous monitoring of models in production environments to maintain performance and scalability.
- Drive exploratory data analysis and statistical modeling to identify trends and support data-driven decision-making.
What you'll bring:
- Extensive experience in data science, machine learning, and advanced statistical modeling techniques.
- Proficiency in Python, SQL, and data visualization tools such as Matplotlib, Plotly, Tableau, or PowerBI.
- Strong knowledge of model assessment, validation, and tuning methodologies to ensure accuracy and robustness.
- Ability to translate complex business requirements into actionable data science solutions aligned with strategic goals.
- Expertise in exploratory data analysis, feature engineering, and deployment of scalable models in production environments.
- Demonstrated leadership in mentoring teams and guiding technical development with a focus on business impact.
- Excellent communication skills to present insights and influence stakeholders effectively.
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 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 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, Supervisory experience, 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.