Senior, Data Scientist - Walmart+ Engagement & Retention

Position Summary...

Join Walmart as a Senior Data Scientist and leverage your expertise in data science, machine learning, and advanced analytics to deliver actionable insights that drive strategic business decisions. This role involves identifying and sourcing relevant data, developing and validating analytical models, and deploying scalable solutions to support business objectives. You will collaborate across functions to translate complex data into clear visualizations and recommendations, ensuring data quality and alignment with business priorities. Your contributions will enhance Walmart’s data-driven capabilities and support continuous improvement in a dynamic environment.

What you'll do...

• Identify and source relevant data from multiple business domains, ensuring data quality and suitability for analysis.
• Develop, test, and deploy advanced analytical models using programming languages such as Python and SQL.
• Perform exploratory data analysis and apply statistical and machine learning techniques to solve complex business problems.
• Collaborate with stakeholders to translate business requirements into data-driven solutions aligned with strategic objectives.
• Create clear and impactful data visualizations to communicate insights effectively to technical and non-technical audiences.
• Mentor junior team members on modeling techniques and best practices to enhance team capabilities.
• Support scalability and sustainability of deployed models through continuous evaluation and tuning.

What you'll bring...

• Extensive experience in data science and advanced analytical modeling techniques, including machine learning and statistical methods.
• Proficiency in Python programming and data visualization tools such as Matplotlib, Plotly, or Tableau to communicate complex insights effectively.
• Strong knowledge of data sources, quality assessment, and database technologies including SQL and NoSQL systems.
• Ability to develop, test, validate, and deploy scalable analytical models aligned with business objectives.
• Solid understanding of business domains to translate requirements into actionable data-driven solutions.
• Experience mentoring junior associates and collaborating cross-functionally to drive impactful outcomes.

About the team:
The Data Science team employs advanced analytical and modeling techniques to address complex business challenges. Leveraging expertise in machine learning, Python, SQL, and data visualization, the team develops reliable models and insightful data representations that support strategic decision-making. Collaborating closely with business stakeholders, the team ensures alignment with organizational objectives and delivers measurable outcomes. Committed to continuous learning, knowledge sharing, and mentoring, the team upholds integrity, clear communication, and a results-oriented approach to advance Walmart’s mission of providing exceptional value and service to customers. 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.
Bentonville, Arkansas US-30008: The annual salary range for this position is $90,000.00 - $180,000.00
Hoboken, New Jersey US-10279: The annual salary range for this position is $108,000.00 - $216,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
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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- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 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.

Master's degree in Business, Analytics, or related field, Project Management Certification, Six Sigma certification, Statistical Programming Language

Primary Location...

1601 SE 10th St, 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.