Senior, Data Scientist

Walmart • Sunnyvale, CA

22h • $117,000 - $234,000

About The Position

We are looking for a Senior Data Scientist to join our science team and build state of the art solutions to detect, prevent, and mitigate fraud across Walmart’s multiple international markets. Our mission is to protect customers, sellers, and the business by enabling safe, trusted, and seamless commerce throughout the online shopping journey. We develop powerful AI and ML driven systems to address highly complex, real world fraud problems at scale. In this role, you will work on industry defining challenges and push the boundaries of fraud detection and prevention by advancing areas such as machine learning, applied statistics, graph and network analysis, optimization, anomaly detection, NLP, and large scale, customer and platform facing system design. What you will do Partner with data scientists, engineers, and product managers to design, train, test, and deploy machine learning models that prevent and mitigate fraud across multiple international markets. Work on problem spaces with high ambiguity and translate business, risk, and engineering requirements into a clear roadmap for delivering fraud detection and prevention solutions. Design and evaluate models that mathematically express and solve complex fraud problems with limited historical precedent or evolving adversarial behavior. Perform rigorous offline analysis and controlled A/B testing, and communicate results and tradeoffs to both technical and non technical stakeholders through clear verbal and written communication. Apply and adapt cutting edge academic research and industry best practices to develop novel approaches for fraud detection, risk scoring, anomaly detection, and abuse prevention. Own models post deployment by monitoring performance, retraining as needed, and continuously improving them within a highly scalable, production grade infrastructure. Publish meaningful research findings internally and externally, contribute to conferences and journals where appropriate, and file patent applications for novel fraud solutions.

Requirements

• MS or PhD in a relevant technical field such as Computer Science, Machine Learning, Applied Mathematics, Statistics, Operations Research, or Engineering, with at least 4 years of relevant industry or applied research experience.
• Strong foundation in machine learning, deep learning, optimization, algorithms, applied statistics, and software development, with proven ability to apply these skills to real world fraud problems.
• Experience or strong interest in areas such as fraud detection, risk modeling, anomaly detection, graph and network analysis, and adversarial modeling.
• Proficiency in Python, SQL, PySpark, machine learning libraries, and large scale data processing systems in a cloud based environment.
• Experience publishing in peer reviewed conferences or journals, or demonstrated ability to translate advanced research into production ready systems.
• 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

• Partner with data scientists, engineers, and product managers to design, train, test, and deploy machine learning models that prevent and mitigate fraud across multiple international markets.
• Work on problem spaces with high ambiguity and translate business, risk, and engineering requirements into a clear roadmap for delivering fraud detection and prevention solutions.
• Design and evaluate models that mathematically express and solve complex fraud problems with limited historical precedent or evolving adversarial behavior.
• Perform rigorous offline analysis and controlled A/B testing, and communicate results and tradeoffs to both technical and non technical stakeholders through clear verbal and written communication.
• Apply and adapt cutting edge academic research and industry best practices to develop novel approaches for fraud detection, risk scoring, anomaly detection, and abuse prevention.
• Own models post deployment by monitoring performance, retraining as needed, and continuously improving them within a highly scalable, production grade infrastructure.
• Publish meaningful research findings internally and externally, contribute to conferences and journals where appropriate, and file patent applications for novel fraud solutions.

Benefits

• 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.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level