(USA) Data Scientist III

Position Summary...The Machine Learning Engineer in the Search Data Science team will play a pivotal role in supporting the architecture and development of AI initiatives within the Sam's Club division of Walmart Inc. This position is key to crafting the ML/AI models that will enhance member experiences across eCommerce, Scan & Go, and in-club shopping.As a Machine Learning Engineer, you will contribute to the end-to-end development of Machine Learning products in the Search domain, working within a scrum team. You'll collaborate with an elite team of Product Managers and Technologists to scale ML/AI solutions, merging retail industry insights with machine learning algorithms to disrupt conventional business models and support ambitious growth targets.Joining this role, you become part of a dynamic group leading impactful and transformative changes in Search and Ads, positioning our business for future success.About Team: Sams Search and BrowseOmniCommerce Search Team at Sam's Club to serve Search and Browse experience across all channels. An elite ensemble of Data Scientists, Machine Learning Experts, and Software Engineers, focused on redefining the OmniCommerce search experience within the expansive retail landscapes of Walmart and Sam's Club. Central to our mission is a deep commitment to Relevance and Ranking, ensuring every search result not only meets the highest standards of precision but also significantly simplifies and enhances the customer journey.What you'll do:Supporting the backend software development for AI/ML solutions, working closely with a team of Data Scientists and Engineers.Collaborating with Product and Engineering leaders to drive innovations in discovery experiences through insights, frameworks, and machine learning prototypes.Participating in the full life cycle of projects, from planning to deployment, focusing on stakeholder management and cross-functional communication.Contributing to the development of an MLOps framework for continuous testing and personalization of user experiences.What you'll bring:You have experience developing large-scale production systems, especially in Search, information retrieval, and ranking systems.You're skilled in building large-scale ML systems on public clouds like Azure or Google Cloud.With 3+ years in applied machine learning, you are proficient in algorithms like Collaborative Filtering, Deep Neural Networks, and others, and in programming languages such as Python or Java.You're experienced with ML Software (e.g., TensorFlow, PyTorch) and cloud environments (Azure, Google Cloud).You have solid MLOps practices, including design documentation, unit testing, and source code control (git), and are familiar with agile methodologies and tools like JIRA.Minimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field.Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field.4 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.Primary Location...640 W California Avenue, Sunnyvale, CA 94086-4828, United States of America

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