Our minimum requirements for this role: Ten (10) years of experience analyzing datasets and developing analytics Experience programming in Python, SAS, or MATLAB Experience designing, developing, and implementing ETL pipelines Experience cleaning, transforming, and preparing data for analysis Experience developing, tuning, and testing predictive models Experience creating analytics dashboards, visualizations, and charts Experience with Elastic Experience with machine learning Experience with Natural Language Processing (NLP) Experience with regression and predictive analysis Experience with Python Experience with MATLAB or R Experience with SQL or MongoDB Experience with Jupyter Notebook or Google Colab Bachelors degree in a quantitative field such as statistics, mathematics, operations research, engineering, computer science, or a related discipline Masters degree in a quantitative field such as statistics, mathematics, operations research, engineering, computer science, or a related discipline Ten (10) years of experience plus a Bachelors and Masters degree are required Candidates without a Masters degree must have at least twelve (12) years of relevant experience A Ph. Additionally, the Data Scientist will transform and prepare data for reporting, analysis, and automated assessments; support data engineering operations involving data quality checks, pipeline monitoring, workflow optimization, and timely delivery of security insights; and enable scalable, reliable dataflows that support continuous monitoring and RMF automation.