DATA SCIENTIST III

Join the Fashion AI team at Walmart Global Tech, a dynamic group dedicated to revolutionizing customer interaction and making shopping frictionless. We create seamless experiences across online and in-store channels, operating at the intersection of vast product assortments, millions of customers, and thousands of stores. Our mission tackles complex, multi-objective problems with a significant global impact, powering assisted AI for associates.

Our team comprises data scientists, application engineers, big data experts, and product visionaries collaborating to design, prototype, and build technology-driven products. We are focused on developing intelligent systems that will transform the customer experience from product discovery to delivery. Utilizing cutting-edge machine learning techniques, we build state-of-the-art systems capable of rapid A/B testing, GPU/CPU-based online inferencing, and event-driven architectures for personalized experiences. We seek individuals with extensive technological experience and a strong curiosity for innovation, ready to impact diverse markets and business models.

At Walmart Labs, our data science community actively participates in hackathons, leveraging petabytes of data to foster groundbreaking ideas that benefit our operations, associates, and ultimately help customers Save Money. Live Better.

What you'll do:

• Apply and develop advanced statistical modeling techniques, including deep neural networks, Bayesian models, optimization methods, and other ML approaches.
• Build efficient and scalable models tailored for Walmart's extensive scale.
• Collaborate with business, engineering, and science counterparts to devise impactful solutions for business challenges.
• Define, own, and track model performance metrics and their impact on business outcomes.
• Translate complex analytical findings into clear, actionable recommendations for business partners, influencing future strategies.

What you'll bring:

• PhD or Master's degree with relevant experience (e.g., Master's with >1 year, PhD with >2 years) in Computer Science, quantitative discipline, or a related field. (Minimum Qualifications: Bachelors in Statistics, Economics, Analytics, Mathematics, Computer Science, IT with 2 years experience, OR Masters in the same fields, OR 4 years analytics experience).
• Champion continuous improvement in data science and machine learning by adhering to industry best practices and advancing state-of-the-art research.
• Integrate data science solutions seamlessly into existing business processes.
• Develop and advocate for process standards and best practices in Machine Learning, particularly within the retail sector.
• Mentor junior team members and manage multiple concurrent projects.
• Consult with business stakeholders across e-commerce and stores on algorithm-based recommendations, acting as a thought leader to drive business actions.
• Engage with universities, institutes, and vendors to introduce novel ideas and foster innovation within the lab.
• Peer review and publish research in top-tier ML/AI conferences (e.g., NIPS, ICML, AAAI, COLT).
• Participate and present at external forums like research conferences and technical summits.
• Uphold company policies, procedures, mission, values, and ethical standards.

Good to haves:

• Experience with Recommender Systems.
• Expertise in Deep Learning, especially as applied to Computer Vision.
• Experience with Large Language Models (LLMs).
• Familiarity with the E-commerce domain.