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.
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 skills in Python or other related language
- Experience building scalable data pipelines using Spark, Hive, and/or SQL
- Experience designing scalable end-to-end model architectures and conducting experiments in PyTorch/TensorFlow to solve complex predictive modeling problems
Preferred Experience and Qualifications: - Personalization and recommendation development and implementation experience in an e-commerce environment strongly preferred
Minimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 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. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.
Primary Location...1395 Crossman Ave, Sunnyvale, CA 94089-1114, United States of America
Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.
