Staff, Data Scientist - Walmart : Job Details

Position Summary...

At Sam's Club, we are not just building computer vision models, we're transforming retail at a national scale. Our Computer Vision teams are at the forefront of innovation, operating autonomous inventory-scanning robots and developing frictionless, vision-driven member exit experiences. As a Staff Data Scientist, you will lead the design, development, and scaling of AI solutions that impact millions of shopping journeys, enabling our associates to focus more on service. If you are passionate about applying cutting-edge research to solve real-world challenges and advancing Computer Vision, we want to hear from you.

What You'll Do

• Architect and lead large-scale Computer Vision and Machine Learning systems for member and associate experiences
• Design innovative models for object detection, item recognition, tracking, and visual anomaly detection in retail environments
• Drive technical initiatives including model training, evaluation, deployment, and monitoring
• Collaborate with Product, Engineering, and Operations leaders to shape vision-based technology roadmaps
• Mentor Data Scientists and Engineers to foster technical excellence

You Will Sweep Us Off Our Feet If

• You have deep expertise in Machine Learning and Computer Vision, especially in object detection, tracking, segmentation, or similar applications
• You have experience building and deploying production ML systems at scale
• You are strategic and hands-on, capable of high-level architecture and deep optimization
• You thrive in fast-paced, ambiguous environments and can simplify complex problems
• You are passionate about mentoring and cultivating a culture of excellence
• You care about creating seamless, delightful AI-driven experiences for members and associates

About Walmart Global Tech

Imagine working where a single line of code can improve the lives of hundreds of millions. Walmart Global Tech is a team of engineers, data scientists, cybersecurity experts, and professionals shaping the future of retail. We value innovation driven by people, with a focus on growth, skills development, and impact at scale. Whether you're starting your tech career or seeking a defining opportunity, join us to innovate and reimagine retail.

Flexible, Hybrid Work & Benefits

We operate in a hybrid model combining in-office collaboration with virtual work. Our campuses facilitate teamwork and decision-making, while offering flexibility. Benefits include competitive pay, performance bonuses, 401(k), stock plans, paid parental leave, PTO, health coverage, and more. We also offer educational benefits through Live Better U, supporting your growth from high school to degrees and certificates.

Minimum Qualifications

Outlined below are the minimum qualifications for this position. If none are listed, there are no minimum requirements.

• Option 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, IT, or related, plus 4 years' experience in analytics
• Option 2: Master's degree in the same fields plus 2 years' experience
• Option 3: 6 years' experience in analytics or related fields

Preferred Qualifications

Optional qualifications include expertise in data science, machine learning, optimization models, PhD in relevant fields, proficiency in Python, Spark, Scala, R, open-source frameworks like scikit-learn, TensorFlow, PyTorch, and knowledge of digital accessibility standards and inclusive design practices.

Primary Location

1701 W State Highway 114, Grapevine, TX 76051-8652, USA

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