Job Description

**Position Summary...** We are seeking a Staff Data Scientist with a strong foundation in machine learning, information retrieval, and LLMs. The selected candidate will be responsible for architecting and developing new Machine Learning models to enhance Customer Segmentation landscape within Walmart. This is an exciting opportunity for a creative and innovative professional who thrives in a fast-paced, results-driven environment. **What you'll do...** + Develop generative AI LLM-based applications, , multi-agent workflows, machine learning algorithms and computational algorithms based on business initiatives. + Direct the gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals. + Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights. + Build and train statistical models and machine learning algorithms for replication for future projects. + Develop custom models and algorithms to drive business solutions, and scale them to large data sets. **What you'll bring:** + Experience with Large Language Models (LLMs). + 5-7 years of experience as technical on-hands data scientist building and deploying solutions. + Solid understanding of Machine Learning models including Logistic Regression, Support Vector Machine, Random Forest, Gradient Boosting Decision and Deep Neural Networks. + Familiarity with Deep Learning frameworks including Tensorflow and Pytorch. + Experience with Cloud technology including GCP, AWS, and Azure. + Proficient in Java and Python. **Our team is part of the Data Science Center of Excellence for Customer Data and Identity** to build AI Insights and strategic decision-making through cutting-edge data-driven solutions. We specialize in a diverse range of Customer data initiatives building Machine Learning, Deep Learning models, and leveraging Generative AI (GenAI) to produce concise, insightful summaries that empower decision-makers. By integrating these innovative approaches, we strive to drive efficiency, accuracy, and impactful outcomes in financial operations. At Walmart, we offer competitive pay as well as performance-based bonus 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 . ‎ ‎ 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 ( . ‎ San Bruno, California US-08848:The annual salary range for this position is $143,000.00-$286,000.00 ‎ Bentonville, Arkansas US-09401:The annual salary range for this position is $110,000.00-$220,000.00 ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ Additional compensation includes annual or quarterly performance bonuses. ‎ Additional compensation for certain positions may also include: ‎ ‎ - Stock ‎ ‎ **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), 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. **Primary Location...** 850 Cherry Avenue, San Bruno, CA 94066-3031, United States of America 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, abilities, ideas and opinions- while being inclusive of all people.

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Holiday work, Full time, Temporary work, Part time,

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