(USA) Staff, Data Scientist

Posted 2 Days Ago
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Sunnyvale, CA, USA
Hybrid
143K-286K Annually
Senior level
Big Data • Cloud • Logistics • Machine Learning • Retail
The Role
Design, develop, and deploy scalable machine learning and deep learning models for fraud, anomaly, and abusive returns detection. Perform large-scale data exploration, feature engineering, back-testing, and partner with cross-functional teams to deliver production-ready analytics while mentoring colleagues and presenting findings to stakeholders.
Summary Generated by Built In
Position 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 Do
  • Perform 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 Bring
  • Strong 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 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.
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 :
- Stock

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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...

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.

Skills Required

  • Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field; OR Master's degree in those fields and 2 years' experience; OR 6 years' experience in an analytics or related field.
  • Strong expertise in data mining, machine learning, statistical analysis, and deep learning.
  • Proficiency in Python.
  • 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.
  • Strong database and querying skills, including BigQuery, Hive, and SQL.
  • Programming experience in Python, Java, or JavaScript.
  • Ability to communicate effectively with technical and non-technical stakeholders and mentor associates.
  • Advanced degree in a STEM field (Master's or PhD) and at least five years of relevant industry experience.
  • PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics.
  • Successful completion of one or more assessments in Python, Spark, Scala, or R.
  • Experience using open-source frameworks (for example, scikit-learn, TensorFlow, PyTorch).
  • Knowledge of accessibility best practices and implementing WCAG 2.2 AA standards (digital accessibility).

Walmart Global Tech Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Walmart Global Tech and has not been reviewed or approved by Walmart Global Tech.

  • Strong & Reliable Incentives Compensation packages typically include base pay, performance bonuses, and stock awards, with access to an employee stock purchase plan. Feedback suggests annual bonus structures and stock grants are a consistent part of total compensation in many roles.
  • Retirement Support Retirement offerings include a company 401(k) match and stock purchase options that support long‑term savings. Feedback suggests these programs are a notable strength within the overall package.
  • Parental & Family Support Family benefits feature paid parental leave and adoption assistance, alongside tax‑advantaged accounts for healthcare spending. Feedback suggests these supports contribute meaningfully to perceived total rewards value.

Walmart Global Tech Insights

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The Company
HQ: Bentonville, AR
578,950 Employees

What We Do

Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.

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