Senior, Data Scientist

Position Summary Position Summary... What you'll do Developing and implementing cutting-edge machine learning techniques, particularly in personalization and recommendation systems for conversational agents. Researching and building advanced algorithms utilizing deep learning, reinforcement learning, Generative AI, and computer vision techniques. Collaborating with tech leads on top-down or bottom-up initiatives and priorities. Develop data models and iteratively improve them based on new data insights. Design, architect data models. Iterate, challenge, and accelerate best practices in Personalization and Item Recommendations. What you'll bring Master's degree/PhD in Data Science, Computer Science, or related fields with practical experience. Expertise in Machine Learning, Statistics, Generative AI, Personalization, and Item Recommendation algorithms. Experience in data science and building and evaluating large-scale machine learning & deep learning models. Experience in deploying highly scalable Recommender Systems; bonus domain – conversational agents. Curiosity in state-of-the-art techniques in recommendation related areas. 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 experts and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. 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. Walmart’s culture is a competitive advantage, and it’s fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates. Benefits Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more. Equal Opportunity Employer: 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 unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people. The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process. Primary Location 1345 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. Additional compensation includes annual or quarterly performance bonuses. Other compensation for certain positions may also include stock. Minimum Qualifications 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 year of 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, PyTorch). We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing WCAG 2.2 AA standards and accessibility best practices. #J-18808-Ljbffr

Created: 2025-09-18