Walmart

Development of Generative AI and LLM for E-commerce Data : Lead in the research and development of state-of-the-art generative AI and large language models specifically tailored for interpreting and processing high-dimensional, complex unstructured, and structured e-commerce data.. Generative Modeling for Insight Mining and Optimization : Utilize generative AI and LLM techniques to experiment with and analyze large-scale e-commerce datasets on distributed computing platforms.. 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.. Data science, machine learning, optimization models, PhD 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)

staff data scientist

Position Summary... What you'll do... 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 <ul><li> Development of Generative AI and LLM for E-commerce Data : Lead in the research and development of state-of-the-art generative AI and large language models specifically tailored for interpreting and processing high-dimensional, complex unstructured, and structured e-commerce data. Innovate in creating models that can generate actionable insights and recommendations from vast datasets.</li><li> Generative Modeling for Insight Mining and Optimization : Utilize generative AI and LLM techniques to experiment with and analyze large-scale e-commerce datasets on distributed computing platforms. Develop models capable of mining deep insights and forecasting trends, thereby identifying opportunities for optimization across various business metrics and goals.</li><li> Advanced Generative Features for Advertising Applications : Engineer advanced generative algorithms to extract dynamic features that significantly enhance the targeting, relevance, ranking, and optimization of e-commerce advertising campaigns. Leverage LLM capabilities to understand and predict customer behavior and preferences for more personalized ad experiences.</li><li> Relevance and Conversion through Generative AI : Implement cutting-edge machine learning, deep learning, reinforcement learning, and active learning techniques focused on generative AI to drive unparalleled ad relevance and conversion rates. Develop comprehensive end-to-end systems and solutions using these models to maximize the performance of advertising products.</li><li> Experimental Validation with Generative Models : Design and conduct extensive A/B testing and both offline and online experiments using generative AI and LLM to validate the performance of new models. These models, responsible for optimizing the delivery and effectiveness of hundreds of millions of ad impressions daily, will be rigorously evaluated for their impact and efficiency.</li><li> Collaborative Integration and Iteration of Generative AI Models : Work in close collaboration with company leadership, product managers, and system engineers to iteratively refine and deploy new generative AI models and algorithms into the advertising ecosystem. Share and present insights derived from generative AI models both within the organization and to external partners, showcasing the strategic advantages gained through your work. </li></ul>What You'll Bring <ul><li>This position requires a strong background in machine learning, natural language processing, and advertising domain knowledge, along with excellent communication skills and the ability to thrive in a fast-paced, collaborative environment.</li><li>Experienced with end-to-end modeling projects emerging from research efforts.</li><li>Excellent academic or industrial track record of proposing, conducting, and reporting results of original research, plus collaborative research with publications. </li></ul>Nice To Have <ul><li>Experienced in online advertising, recommender system, search engine, ecommerce, GenAI or related areas. </li></ul>About Walmart Global Tech Imagine working 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 epic impact and are leading the next retail disruption. People are why we innovate, and people power our innovations. Who We Are Join Walmart and your work could help approximately 220 million global customers live better every week. Yes, we are the Fortune #1 company. But you'll quickly find we're a company who wants you to feel comfortable bringing your whole self to work. Our mission spreads far beyond the walls of our stores. Here at the world's leading retailer, you can make career defining accomplishments, learn new skills, gain experience from virtually every industry and leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Discover why we are a world leader in technology, diversity and inclusion, sustainability and community involvement. careers.walmart.com. 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. At Walmart, we offer competitive pay as well as performance-based incentive awards and other great benefits for a happier mind, body, and wallet. 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. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices . 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. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart at https://bit.ly/3iOOb1J . The annual salary range for this position is $143,000.00-$286,000.00 Additional Compensation Includes Annual Or Quarterly Performance Incentives. Additional compensation for certain positions may also include: <ul><li> Regional Pay Zone (RPZ) (based on location)</li><li> Stock equity incentives </li></ul>Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 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, PhD 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) Primary Location... 640 W California Avenue, Sunnyvale, CA 94086-4828, United States of America

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