Senior, Data Scientist (Personalization)

Position Summary...

What you'll do...

Immigration sponsorship is not available for this role. Applicants must be authorized to work for any employer in the United States without current or future visa sponsorship.    Walmart Global Tech is looking to hire a seasoned Senior Data Scientist for their Personalization team in Sunnyvale, CA to support the Personalization and Recommendation development efforts with our eCommerce team. 
 
About the Team:   The Personalization team consists of platform, application engineers, scientists and product visionaries all working together to design, prototype and build technology-driven products and experiences that will change the future landscape of ecommerce. We are focused on building end-to-end customer experience, from finding the product to delivering it to the customer. This will span many markets, business models and form factors; therefore, we are looking for data scientists who will bring not only the experiences in technologies, but the curiosity and capability to innovate. Come join an organization where you'll get to work as part of a world-class team, solve problems that are at a scale few can create, and get to build products that are only bound by the scope of your imagination. Put your footprint on ground up development focused on building brand new products that will impact a global customer base.    What You'll Do:  

• Develop 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, generative AI techniques  
• Collaborate with other tech leads on top-down or bottom-up initiatives and priorities  
• Develop data models and iteratively improve them based on new data insights  
• Design, architect and iterate on data models  
• Iterate, challenge, and accelerate best practices in Personalization and Item Recommendations  

  What You'll Bring: 

• Master's degree/Ph. D in Data Science, Computer Science or related fields with practical experience  
• Expertise in Machine Learning, Statistics, Generatlive AI, Personalization and Item Recommendation algorithms  
• Experience in data science and building and evaluating large scale machine learning and deep learning models 
• 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 
• Strong coding<