Senior, Data Scientist | Personalization

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Senior Data Scientist - Personalization | Walmart Global Tech

Senior Data Scientist - Personalization | Walmart Global Tech

Location: Bellevue, WA / Sunnyvale, CA

Salary Range: $108,000.00-$234,000.00 per year

Company: Walmart Global Tech

Position Overview

Walmart Global Tech is seeking a seasoned Senior Data Scientist to join our dynamic Personalization team in Bellevue/Sunnyvale. As part of a team that includes platform developers, application engineers, scientists, and product visionaries, you’ll design, prototype, and build innovative products that will shape the future of e-commerce. You’ll play a critical role in building the global service layer that enhances the end-to-end customer experience from product discovery to delivery.

About the Team

Imagine a workplace where one line of code can simplify the lives of hundreds of millions of people. At Walmart Global Tech, we’re a powerhouse of software engineers, data scientists, cybersecurity experts, and service professionals within the world’s leading retailer. Our mission is to innovate at scale, drive epic impacts, and redefine the future of retail. With a people-first approach, we equip our team with future-ready skills and seek experts who can help us grow and innovate further.

What You'll Do

  • Develop state-of-the-art techniques in Machine Learning, Personalization, and Recommendation Systems
  • Design, implement, and own advanced Machine Learning models, including deep learning, reinforcement learning, and computer vision
  • Collaborate with tech leads on top-down or bottom-up initiatives and priorities
  • Create and iterate on data models based on new insights
  • Challenge and refine best practices in Personalization and Item Recommendations

What You’ll Bring

  • Master's degree/PhD in Data Science, Computer Science, or related fields
  • Expertise in Machine Learning, Statistics, Personalization, and Item Recommendation algorithms
  • Experience in developing and evaluating large-scale machine learning models
  • Experience in designing and deploying scalable Recommender Systems for e-commerce
  • Strong problem-solving skills and business acumen
  • Outstanding communication and leadership skills

Flexible, Hybrid Work Environment

We embrace a hybrid work model that allows for both in-office and virtual collaboration, ensuring flexibility and work-life balance. This approach removes location barriers and enables quicker decision-making across our global team.

Benefits

Our comprehensive benefits package includes:

  • Performance-based incentive awards
  • 401(k) match and stock purchase plan
  • Paid parental leave and PTO
  • Multiple health plans (medical, dental, vision)
  • And much more to support your mind, body, and wallet

Equal Opportunity Employer

Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe in leveraging diversity to foster innovative ideas and cultivate an inclusive culture.

Minimum Qualifications

  • Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, or related field and 3 years' experience in analytics
  • OR Master’s degree in related fields and 1 year of experience
  • OR 5 years' experience in analytics or related field

Preferred Qualifications

  • Advanced degrees in Machine Learning, Computer Science, Operations Research, Statistics, Applied Mathematics, Econometrics
  • Proficiency in Python, Spark, Scala, or R
  • Experience with open-source frameworks like scikit-learn, TensorFlow, and PyTorch
  • Knowledge in Web Content Accessibility Guidelines (WCAG) 2.2 AA standards

Application Information

Primary Location: 860 W California Avenue,