Staff Data Scientist, Walmart Marketplace

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... Walmart Marketplace Walmart Marketplace is a key part of e-commerce at Walmart. It is a gateway for Third-Party Sellers to manage their operations, such as onboarding, catalogs, order fulfillment, global opportunities, and return & refund management. We are responsible for providing the best in-class marketplace experience for our sellers and customers through the design, development, and operations of highly scalable systems. We interact with multiple teams within the company to develop scalable, robust technical solutions. The data scientist role will be part of the data science team and will play a key role working along with others within the Marketplace engineering organization, product managers and business stakeholders to build Machine Learning products. More about Marketplace: https://marketplace.walmart.com/

: As a full stack Staff Data Scientist for Walmart, you will be responsible for building scalable end-to-end data science solutions for our data products. • Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management • Can develop and maintain scalable MLOps infrastructure, such as building Kafka pipeline for unified logging and monitoring across multiple projects. • Apply SRE (Site Reliability Engineering) principles for ML workloads, optimizing cloud deployments, monitoring performance and troubleshooting application latency or operational issues. • Lead code quality and engineering best practices by conducing code reviews and mentoring junior MLEs. • Can provide high-level architectural project guidance, break down complex tasks, and help resolve project challenges for the team. • Build continuous, distributed and scalable training pipeline, inference pipeline and performance monitoring pipeline to be used across several Marketplace initiatives. • Enhance data feedback/annotation workflows to improve efficiency of our labeling team • Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale and deploy holistic machine learning solutions after successful prototyping. • Collaborate cross-functionally with stakeholders to align AI solutions with Walmart’s business objectives. • Build and deploy end-to-end models, balancing accuracy, computational efficiency, and business impact.