Prior work experience must include three (3) years of experience with the following: statistics concepts, including descriptive statistics, data distribution models, Time Series Analysis, correlation, and regression, and its application to data; programming languages, such as Python, Java, or C++; visualization tools, such as Tableau or Qlik; text analytics and NLP using python; machine learning algorithms and exposure to supervised and unsupervised learning techniques including Linear/Logistic Regression, SVM, Random Forest and Boosting, Clustering, and Patterns Recognition; utilizing SQL to perform ad-hoc analysis for audit testing, such as determining a population or re-performance; and engineering methodologies (Git, CI/CD, Agile) and SDLC best practices. Requires: Bachelor’s degree (U.S. or foreign equivalent) in Computer Science, Data Analytics, Information Technology, Industrial Engineering, Operations Research, or a related field and three (3) years of experience in the job offered or in a related role.