Data Scientist with PHD

Prefer a candidate with more ML modeling experience.
Qualifications
•Solid background in machine learning, deep learning, statistical analysis, and software development
•Proficient in data mining, machine learning, and deep learning packages in Python/Tensorflow/Keras
•Experience working with large data sets and cloud computing (Hive, Spark, Google Cloud Platform, or Azure)
•Proficient in coding SQL, Python, Java, or JavaScript
•Advanced degree (Master or PhD) in any STEM field plus 4~6 years of related experience
•Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3
•Information Technology, or related field and 1 years' experience in an analytics related field
•Option 3 - 5 years' experience in an analytics or 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
• Perform hands-on data exploration, processing, and analysis on massive data sets
•Use machine learning, deep learning, reinforcement learning techniques to develop robust solution for Account Takeover detection, payment fraud detection, fake account signup solutions and identity risk assessment
•Communicate the results to stakeholders and present the projects in internal or external conferences
•Research and develop advanced algorithms and techniques that address complex business problems
•Utilize the broad and deep knowledge of Machine Learning and Software Engineering to contribute to the team's core machine learning capabilities