Walmart-posted 4 months ago
$117,000 - $234,000/Yr
Full-time • Senior
Sunnyvale, CA
General Merchandise Retailers

Walmart Global Tech is looking to hire a seasoned Senior Data Scientist for their Personalization team in Sunnyvale to support the Personalization and Recommendation development efforts with our eCommerce team. This role will have the opportunity to explore the real-world large-scale eCommerce data and build DS/ML models to improve the customers' shopping experiences. Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity experts, and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation.

  • Developing 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, and computer vision techniques
  • Work with other tech leads on top-down or bottom-up initiatives and priorities
  • Develop data models based on new data insights
  • Design, architect and iterate on data models
  • Iterate, challenge, and accelerate best practices in Personalization and Item Recommendations
  • Master's degree/PHD in Data science, Computer Science or related fields with practical experience
  • Expertise in Machine Learning, Statistics, Personalization and Item Recommendation algorithms
  • Experience in data science and building and evaluating large scale machine learning & deep learning models
  • Experience in LLM, VLM, and Agentic AI
  • 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
  • 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)
  • Knowledge of accessibility best practices and experience in creating inclusive digital experiences
  • 401(k) match
  • Stock purchase plan
  • Paid maternity and parental leave
  • PTO
  • Multiple health plans
  • Performance-based bonus awards
  • Short-term and long-term disability
  • Company discounts
  • Military Leave Pay
  • Adoption and surrogacy expense reimbursement
  • Live Better U education benefit program
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