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Sunnyvale, CA
Source: Walmart careers · View original posting
From Walmart's posting. “We” and “our” refer to the employer.
Position Summary...
What you'll do...
We are looking for a Staff Data Scientist to drive innovation across Walmart’s
BuyBox, Search & Personalization ecosystem
. You will develop next-generation machine learning solutions spanning ranking, recommendation systems, Generative AI, and neural networks. You will lead high-impact initiatives from problem formulation and research through experimentation, deployment, and continuous improvement, partnering closely with Product, Engineering, and business stakeholders.
You will identify appropriate data sources, ensure data quality, and develop scalable models that support customer and business decisions. Your solutions will operate at Walmart scale, influencing millions of products, offers, sellers, and customer interactions while delivering measurable customer and business impact.
The BuyBox Data Science team is part of Walmart’s
Search & Personalization organization and builds intelligent ranking and decisioning systems that help customers discover and purchase the most relevant and competitive products and offers.
Our work sits at the intersection of Search, Personalization, Recommendation Systems, Marketplace, and eCommerce
. The team develops machine learning systems that determine the best offer for a product and select the most relevant product variant from a set of eligible variants. Operating at Walmart scale, these systems influence shopping decisions across millions of products, offers, sellers, and customer interactions, creating meaningful impact for our customers, sellers, and business.
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.
The annual salary range for this position is $143,000.00 - $286,000.00
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: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 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, PhD 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.
Primary Location...
1395 Crossman Ave, Sunnyvale, CA 94089-1114, 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.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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