Staff, Data Scientist

Walmart is hiring a Staff Data Scientist in Sunnyvale, CA (onsite) to turn complex data into actionable business insights. In this role, you will build and deploy production-ready predictive machine learning solutions focused on fraud and risk detection, working closely with cross-functional partners.

Role Summary

As a Staff Data Scientist, you will use advanced analytics and machine learning to transform large-scale datasets into practical recommendations. The position includes hands-on development of predictive models, evaluation of model performance, and collaboration on scalable, production-ready data science solutions for fraud and risk detection.

Responsibilities

• 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, including feature engineering, back-test modeling, and performance evaluation.
• Present findings and recommendations to stakeholders.
• Research, develop, and implement state-of-the-art algorithms addressing complex business challenges.
• Partner with cross-functional teams to deploy scalable, production-ready data science solutions.

Requirements

• 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 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.

Technologies

• Python
• BigQuery
• Hive
• Spark
• SQL
• Google Cloud Platform (GCP)
• Microsoft Azure
• Java
• JavaScript
• scikit learn
• tensorflow
• torch

About the Team

• Fraud and Risk Detection Data Science team at Walmart Global Tech.
• Cross-functional team across data science, big data, IT infrastructure, and business operations.
• Develop scalable predictive models and analytics solutions using advanced machine learning, deep learning, and optimization techniques.
• Work with large volumes of business and customer data generated across Walmart’s online and offline commerce platforms.

Minimum Qualifications

• Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years of 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 of experience in an analytics related field.
• Option 3: 6 years of experience in an analytics or related field.

Preferred Qualifications

• Data science, machine learning, optimization models, and a 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.
• Using open source frameworks such as scikit learn, tensorflow, or torch.
• Background in creating inclusive digital experiences, including knowledge of implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility.
• Knowledge of accessibility best practices and experience aligning with Walmart accessibility standards and guidelines supporting an inclusive culture.

Location and Work Details

• Location: Sunnyvale, CA (onsite)
• Primary location address: 815 Eleventh Ave, Sunnyvale, CA 94089-4731, United States of America
• Minimum experience: 2 years

Compensation

• Salary range: USD 143,000 - 286,000 per year

Benefits

• Health benefits including medical, vision and dental coverage.
• 401(k).
• Stock purchase.
• Company-paid life insurance.
• PTO including sick leave, parental leave, family care leave, bereavement, jury duty, and voting.
• Short-term and long-term disability.
• Company discounts.
• Military Leave Pay.
• Adoption and surrogacy expense reimbursement.
• Live Better U (Walmart-paid education benefit program).
• Annual or quarterly performance bonuses.
• Additional compensation for certain positions may include stock.
• PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes.

Drug-Free Workplace

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and have a no tolerance policy regarding the use of illegal drugs and alcohol on the job.