Walmart - Bellevue, WA
posted 5 months ago
The International Data Science team at Global Tech is dedicated to leveraging cutting-edge research in machine learning, statistics, and optimization to address various business challenges across assortment, pricing, sourcing, customer engagement, supply chain, and replenishment for multiple countries within the company's global operations. Our team is responsible for mining vast amounts of data, distilling actionable insights, extracting valuable information, and building sophisticated analytical models. We deploy machine learning algorithms and utilize the latest technologies to empower informed business decision-making. Collaborating closely with engineers, we construct reference architectures and machine learning pipelines within a big data ecosystem to productize our solutions. The advanced analytical algorithms developed by our team are instrumental in optimizing business operations and practices, ultimately transforming the shopping experience for our customers. Our data science community actively participates in numerous hack events, harnessing the petabytes of data at our disposal to innovate and create groundbreaking ideas. The work we accomplish at Labs is designed to enhance our operations and support our associates, contributing to our mission of helping customers save money to live better. The team collaborates with the International division, which operates over 5,900 retail units across 26 countries under 55 different banners, including regions such as Africa, Argentina, Canada, Central America, Chile, China, India, Japan, and Mexico. This role is pivotal in driving data-derived insights across various retail divisions by developing advanced statistical models and machine learning algorithms tailored to specific business initiatives. The position requires a strong analytical mindset to assess data validity, synthesize large datasets, and identify trends and patterns that inform strategic decisions. Additionally, the role involves building and training statistical models for future replication, communicating insights to business partners, and influencing future plans based on data-driven recommendations. The ideal candidate will possess a product mindset, enabling them to build, scale, and deploy comprehensive data science products following successful prototyping, while also demonstrating an agile approach to problem-solving and innovation.