SENIOR, DATA SCIENTIST (Computer Vision)
Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Oct 23, 2026. Walmart scores A on the Alion truth index.
Position Summary...
What you'll do...
Skillset: Computer Vision, Python, SQL
Experience: 5 - 10 years
About Team
The Corporate Technology Services data science team at Walmart Global Tech leverages advanced machine learning, agentic AI, and optimization methodologies to address complex business challenges. The team conducts comprehensive data analyses, develops predictive models, and implements machine learning algorithms, while also creating intelligent AI agents that support autonomous, data-driven decision-making. Collaborating closely with engineering teams, we design and execute scalable machine learning pipelines, agentic workflows, and resilient reference architectures on large-scale data platforms to deliver production-grade solutions.
Walmart’s The Corporate Technology Services (CTS) is a powerhouse of several exceptional teams delivering world-class technology solutions and services making a profound impact at every level of Walmart.
As a key part of Walmart Global Tech, our teams set the bar for operational excellence and leverage emerging technology to support millions of customers, associates, and stakeholders worldwide. Each time an associate turns on their laptop, a customer makes a purchase, a new supplier is onboarded, the company closes the books, physical and legal risk is avoided, and when we pay our associates consistently and accurately, that is CTS. Joining CTS means embarking on a journey of limitless growth, relentless innovation, and the chance to set new industry standards that shape the future of Walmart.
What you will do
- Design, develop, train, and deploy production-ready computer vision solutions for fintech use cases, including detection, segmentation, OCR, document AI, and visual retrieval
- Collaborate with cross-functional partners ( Finance, Tech, Product) to align on priorities and execute initiatives
- Build and optimize computer vision architectures, embeddings, and appropriate evaluation techniques
- Monitor model accuracy, latency, throughput, drift, reliability, GPU utilization, and cost in production; identify issues and implement continuous improvements
- Articulate and present recommendations to business partners and influence plans based on insights
- Work with the customer-centric mindset to deliver high-quality business driven solutions
- Stay current with advances in computer vision, generative AI, document intelligence, vision-language models, GPU inference, and production ML practices
- Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving
- Proactively engages in the external community to build Walmart's brand and learn more about industry practices
- Promote and support company policies, procedures, mission, values, and standards of ethics and integrity
What you will bring
- Qualifications : PhD (3 yrs +) / Master’s ( 5 yrs +) / Bachelor’s (7 yrs+) preferably in Computer Science
- Strong experience in computer vision and deep learning models
- Strong understanding of CNNs, Vision Transformers, attention mechanisms, transfer learning, open source and frontier VLMs
- Experience in model evaluation , optimizing GPU inference using batching, quantization, mixed precision, TensorRT, ONNX, or equivalent technologies
- Strong hands-on expertise in Python, SQL, and the AI/ML stack
- Experience deploying models through APIs, batch pipelines, or cloud-based inference platforms
- Excellent problem-solving, communication, and collaboration skills, with a strong sense of ownership and delivery focus
- Strong stakeholder-management skills, with the ability to work closely with both technical and non-technical partners
About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.
We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
Walmart’s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our [Bangalore/Chennai] office for daily work, with the flexibility for associates to manage their personal lives.
Benefits
Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.
Belonging
We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.
At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is-and feels-included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.
Equal Opportunity Employer
Walmart, Inc., is an Equal Opportunities 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 unique styles, experiences, identities, ideas and opinions - while being inclusive of all people.
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
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.