(USA) Senior, Data Scientist

Walmart • Sunnyvale, CA

9h • Hybrid

About The Position

About the Team: The Fraud Detection team is a dynamic and innovative group of data scientists, engineers, and business professionals who work together to develop cutting-edge predictive models and analytics solutions to detect and prevent fraud in Walmart's online and offline commerce. What You'll Do: Design, build, and implement predictive models with high-dimensional, fast-moving real-time datasets. Own fraud/abuse risks in a product or segment of a product, be a strategic partner to product development teams, sharing insights and providing recommendations through effective communication and storytelling with data. Use ML/AI, deep learning, and data mining techniques to develop robust models for anomaly detection such as account takeover (ATO) risk detection, membership fraud and abuse, trial abuse, LTO abuse, and bot attack. Build data visualizations and interactive dashboards for monitoring and sharing business insights internally and externally. Unique opportunities in research and US patent filings to address new fraud issues, develop new tools, or automate processes. About Walmart Global Tech: Imagine working in an environment 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 an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. Flexible, hybrid work: We use a hybrid way of working with primary in-office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, and be more flexible in our personal lives.

Requirements

• Technical expertise in machine learning, statistical analysis, and storytelling.
• Proficient in machine learning and data mining packages in Python.
• Experience working with large data sets and distributed computing tools (GCP/BigQuery experience preferred).
• Programming skills in one of the following languages: Java, or JavaScript on a UNIX or Linux platform.
• Production deployment experiences preferred.
• Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field.
• Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field.
• 5 years' experience in an analytics or related field.

Nice To Haves

• Data science, machine learning, optimization models, Master’s degree 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.

Responsibilities

• Design, build, and implement predictive models with high-dimensional, fast-moving real-time datasets.
• Own fraud/abuse risks in a product or segment of a product, be a strategic partner to product development teams, sharing insights and providing recommendations through effective communication and storytelling with data.
• Use ML/AI, deep learning, and data mining techniques to develop robust models for anomaly detection such as account takeover (ATO) risk detection, membership fraud and abuse, trial abuse, LTO abuse, and bot attack.
• Build data visualizations and interactive dashboards for monitoring and sharing business insights internally and externally.
• Unique opportunities in research and US patent filings to address new fraud issues, develop new tools, or automate processes.

Benefits

• Beyond our great compensation package, you can receive incentive awards for your performance.
• Other great perks include a host of best-in-class benefits, including maternity and parental leave, PTO, health benefits, and much more.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees