Senior, Data Scientist (Personalization)

Walmart•Sunnyvale, CA

2d•Onsite

About The Position

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.

Requirements

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
Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field.
Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field.
5 years' experience in an analytics or related field.

Nice To Haves

Personalization and recommendation development and implementation experience in an e-commerce environment strongly preferred
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.

Responsibilities

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

Benefits

Beyond our great compensation package, you can receive incentive awards for your performance.
Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Health benefits include medical, vision and dental coverage.
Financial benefits include 401(k), stock purchase and company-paid life insurance.
Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes.
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities.
Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates.
Tuition, books, and fees are completely paid for by Walmart.