(USA) Staff, Data Scientist

Reference: R-2582291Posted: 2026-07-23Location: Sunnyvale, CA, United StatesSalary: $143000 - $286000/yearType: Full time / Regular/PermanentCompany: WalmartBusiness Segment: Home OfficePosition Summary...What you'll do...Role Summary As a Staff Data Scientist at Walmart, you will leverage advanced analytics and machine learning techniques to transform complex data into actionable business insights. This role requires expertise in data strategy, model development, and data visualization to support decision-making across multiple business domains. You will collaborate with cross-functional teams to identify data sources, validate models, and deploy scalable solutions that drive measurable business value. Your contributions will strengthen data-driven strategies, ensure alignment with business objectives, and promote best practices in analytics and data science while mentoring associates. About the Team Join the Fraud and Risk Detection Data Science team at Walmart Global Tech, where you will collaborate with data scientists, engineers, product managers, and business professionals. This cross-functional team operates at the intersection of data science, big data, IT infrastructure, and business operations. Team members leverage advanced machine learning, deep learning, and optimization techniques to develop scalable predictive models and analytics solutions. The team works with large volumes of business and customer data generated across Walmart's online and offline commerce platforms, driving impactful insights and innovations that support critical decision-making and enhance operational effectiveness across the organization. What You'll DoPerform hands-on data exploration, processing, and analysis on large-scale datasets.Apply machine learning, deep learning, and data mining techniques to develop robust predictive models for eCommerce fraud detection, financial services fraud detection, anomaly detection, and abusive returns.Extract and analyze data from data warehouses and cloud platforms; perform feature engineering, back-test models, evaluate model performance, and present findings and recommendations to stakeholders.Research, develop, and implement state-of-the-art algorithms that address complex business challenges.Partner with cross-functional teams to deploy scalable, production-ready data science solutions.What You'll BringStrong expertise in data mining, machine learning, statistical analysis, and deep learning.Proficiency in Python and experience with open-source machine learning and data science frameworks.Experience working with large datasets using distributed computing platforms such as BigQuery, Hive, or Spark.Experience working in cloud environments, including Google Cloud Platform (GCP) or Microsoft Azure.Familiarity with AI agents and practical AI-driven applications.Strong database and querying skills, including BigQuery, Hive, and SQL.Programming experience in Python, Java, or JavaScript.Advanced degree in a STEM field (Master's or PhD preferred) and at least five years of relevant industry experience.Ability to thrive in a fast-paced environment and communicate effectively with both technical and non-technical stakeholders.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. The annual salary range for this position is $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include : - Stockㅤㅤㅤㅤ‎ 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 fieldPreferred 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...815 Eleventh Ave, Sunnyvale, CA 94089-4731, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.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["Successful completion of one or more assessments in Python, Spark, Scala, or R", "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.", "PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics", "Using open source frameworks (for example, scikit learn, tensorflow, torch)", "Data science, machine learning, optimization models"]