> Markdown version of [/jobs/ext/3597439-data-scientist](https://www.wearedevelopers.com/jobs/ext/3597439-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Wal-Mart Stores, Inc. - **Location:** Mountain View, CA, United States - **Experience:** Expert - **Salary:** $117,000.0 - $234,000.0 - **Contract:** Permanent contract - **Skills:** Adobe Analytics, Web Accessibility, Artificial Intelligence, Data Analysis, Application Frameworks, Computer Vision, Python (Programming Language), Machine Learning, Recommender Systems, Tensorflow, Scala (Programming Language), Web Content Accessibility Guidelines, Reinforcement Learning, Large Language Models, Apache Spark, Deep Learning, Agentic-AI, Scikit Learn, Information Technology - **Published:** October 6, 2026 - **Apply:** https://www.themuse.com/jobs/walmart/senior-data-scientist-personalization-sunnyvale-1dcfff ## About the Role * Master's degree/PHD in Data science, Computer Science or related fields with practical experience * Expertise in Machine Learning, Statistics, Personalization and Item Recommendation algorithms * Experience in data science and building and evaluating large scale machine learning & deep learning models * Experience in LLM, VLM, and Agentic AI * Experience in designing and deploying highly scalable Recommenders Systems for e-commerce * Curiosity in state-of-the-art techniques in recommendation related areas * Exceptional business acumen and problem-solving skills, a demonstrated ability to prototype and implement complex AI solutions * Outstanding communication, leadership, and written skills, 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 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. 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, 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. ## Description * Developing state of the art techniques in Machine Learning, Personalization and Recommendation Systems * Design, implement and own the state of the art Machine Learning approaches including deep learning, reinforcement learning, and computer vision techniques * Work with other tech leads on top-down or bottom-up initiatives and priorities * Develop data models based on new data insights * Design, architect and iterate on data models * Iterate, challenge, and accelerate best practices in Personalization and Item Recommendations, We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.