• Gather and process raw data at scale by using statistical packages (e.g., R, SAS) and programming languages (e.g., Python, Java, and Scala );
• Develop performance metrics, conduct statistical analyses, and apply decision models to address business process challenges;
• Query databases using SQL with structured data and perform statistical analysis;
• Develop a familiarity with machine learning algorithms and advanced statistical methods, such as regression, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, and neural networks; and
• Use critical thinking skills to assess how machine learning capabilities can best be applied to complex business situations.
• Develop intuitive dashboards and data visualization products using Tableau or other data visualization tools;
• Think strategically about how to publish data visualizations and present analytic results;
• Support business decisions with ad hoc analysis;

Qualifications

• 3 years of experience using data sources from industry, academia, the IC, the military, and/ or the scientific community.
• 3 years of experience discovering, organizing, and structuring data and applying advanced analytic techniques, such as mathematical modeling, geospatial analysis, and applications of graph theory.
• 3 years of experience using Python, R, or other coding languages and developing and evaluating algorithms and methods.
• Experience in advanced analytics, such as social network analysis (SNA), social media analysis, graph theory, geospatial analysis, and data visualization.
• Experience with data manipulation, analytic papers or report writing, and subject matter briefing(s), slides and graphic products.
• Active TS/SCI with polygraph required.