Staff Data Scientist | Personalization & Item Recommendation Background

**Please note that Immigration Support is not provided for this role.**

Walmart is seeking a highly skilled Staff Data Scientist with a strong background in Machine Learning, Statistics, and Personalization algorithms to join our Personalization team. With expertise in deep learning, designing and deploying highly scalable Recommenders Systems for e-commerce, you'll play a critical role in driving innovation and growth for our company.

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 e-commerce. We are focused on building the global service layer that will enable the 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!

About Team:

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. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.

What you'll do:

• Research, design, and implement data models and cutting edge algorithms on high-dimensional, fast-moving, unstructured and structured data.
• Process complicated and large scale datasets using distributed computing platform, extract insights from data, predict future trends, and optimize towards business metrics.
• Build advanced feature extraction algorithms that feed into various advertising applications, including audience targeting, relevance and ranking, measurement and optimization.
• Build machine learning and statistical models to predict or estimate key signals that are used to optimize advertising product performance.
• Run large scale statistical A/B testing to evaluate performance of machine learning and statistical models in advertising applications which serve hundreds of millions of impressions per day.
• Build compelling data visualizations and interactive dashboards for monitoring and sharing business insights internally and externally.

What you'll bring:

• Master's degree/PHD in Data science, Computer Science or related fields with 5 years of 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 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

About Walmart Global Tech:

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 expert's 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.

Walmart’s culture is a competitive advantage, and it’s fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates.

Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey.

Benefits:

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.

Equal Opportunity Employer:

Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.

The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.