If you’re thinking ‘scale’, think bigger and don’t stop there. At Walmart Global Tech, we don’t just innovate, we enable transformations across stores/clubs and different channels for the Walmart experience. We innovate to deliver a simple and seamless experience for our customers and members. Our tech talent solves the biggest and most complex problems. We drive digital transformation where data and analytics are enabling us to better serve our customers/members and create a digital relationship with them. As our customers/members evolve and adapt, we are taking it a few notches further here. We are changing what customers and members can expect from the experience of shopping, from the physical stores/clubs, to mobile, social, and even online; we’re not just ready for the future of shopping, we are creating it.

About Our Program:

Each summer, we select the best and brightest to look under the hood of the world’s largest retailer at our Walmart Home Offices across multiple locations. During the 11-week program, our interns work directly with teams who are changing the way the world shops. This is the beginning of what could be an exciting career with Walmart!

The intern experience includes:

• An impactful individual project designed to align to your skillsets and interests

• Direct access to leadership across the enterprise

• Executive-led speaker sessions with insightful Q&A

• Community outreach events

• Networking and social events

• Learning & development opportunities targeting both hard and soft skills

• Deep dives into different areas of our business

• Time management and leadership development as a full-time associate

• An in-depth look at our Belonging, Diversity, Equity & Inclusion (BDEI) practices

• Compensation and housing assistance provided

Roles & Responsibilities:

Applied Business Acumen

• Identifies and helps design solutions to business problems based on machine learning and other advanced algorithms

• Owns delivery of the piece of the project assigned by the broader team

• Helps define measurement and implementation plans to unlock business value

Problem Formulation

• Translates problems that need solving into algorithmic solutions

• Gains expertise in the domain area to identify the boundaries of the problem and helps design a strong solution for it

Data Source Identification

• Works with product and data experts to explore various datasets and identify those most appropriate

• Builds data quality checks to ensure the integrity of data pipelines used in the solution

Model Analysis

• Owns technical solution development, learning requirements and best practices from the team

• Leverages exploratory data analysis techniques to understand the data

• Defines and engineers features, builds and evaluates simple models, then adds complexity to modeling as needed

• Drives measurement of the solution

Model Assessment & Validation

• Supports model fit testing and statistical inference to evaluate performance

• Assesses the impact of variables and features on inference results and business outcomes.

Model Deployment & Scaling

• Writes production-ready analytical models and data pipelines

• Gains experience in production support, using those skills for evaluations, tracking, and alerting of key KPIs

Code Development & Testing

• Develops code according to project requirements, in the recommended language

• Modifies and enhances code based on code reviews

• Implements unit tests, integration tests, and code quality checks to ensure quality deployments

Data Visualization

• Creates visualizations for key datasets and models to highlight contributions made to the project and team

• Presents innovative ideas to collaborators using appropriate graphing libraries and BI tools

• Develops insights about model health, data quality, and business processes to meet customer needs

Office Environment: Corporate

U.S. Tech Hub Location(s): Bentonville, AR and Sunnyvale, CA

*Location availability is limited based on job profile and business needs.

Desired Majors: Computer Science, Data Science, Machine Learning, Analytics, Mathematics, Statistics, or other relevant majors

Minimum Qualifications

• Must be enrolled in a Master’s degree program currently

• Expected graduation date between December 2025-August 2026

• 0-1 years of full-time relevant experience (excludes internship and research-based roles)