(USA) Senior, Data Scientist

As a Senior Data Scientist at Walmart, you will leverage advanced analytical techniques and machine learning to transform complex data into actionable business insights. This role requires expertise in data sourcing, model development, validation, and deployment to support scalable solutions that drive strategic decisions. You will collaborate across functions to align data strategies with business objectives, ensuring data quality and effective visualization. Your contributions will enhance operational efficiency and innovation, while mentoring team members and upholding Walmart’s commitment to integrity, excellence, and customer-centric outcomes.

About the team:

Our team drives Walmart’s e-commerce search backend by leveraging machine learning and advanced algorithms to deliver the most relevant product results. Focused on enhancing the customer journey, the team ensures a seamless transition from customer intent to purchase. By applying expertise in data science, natural language processing, and large language modeling, the team continuously improves search accuracy and user experience. Collaborating across functions, the team supports scalable model deployment and data pipeline development, aiming to optimize business outcomes through innovative data-driven solutions.

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 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.
• Design and implement scalable data pipelines and workflows to support model deployment and ongoing analytics.
• Create clear, insightful data visualizations and presentations to communicate findings and influence decision-making.
• Mentor junior team members, promoting best practices in data science and analytics methodologies.

• Extensive experience in data science, machine learning, and statistical methods to develop and deploy analytical models.
• Proficiency in Python programming and data visualization tools such as Matplotlib, Plotly, and Tableau.
• Strong knowledge of data pipelines, data quality standards, and data governance principles.
• Expertise in model assessment, validation, and tuning using advanced statistical techniques.
• Ability to translate complex business problems into data-driven solutions with a clear understanding of business context.
• Experience with natural language processing and large language modeling applications.
• Proven skills in coding, testing, and deploying scalable data science solutions in production environments., 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.

Data science, machine learning, optimization models, Master’s degree 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.

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., 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 :

• Stock

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.