Northrop Grumman Data Science/Operations Research Analyst in Scott AFB, Illinois
At Northrop Grumman, innovation isn't just an idea it's a way of life. Our employees have incredible opportunities to work on revolutionary systems in air and space that impact people's lives around the world today, and for generations to come. Our work preserves freedom and democracy, and advances human discovery and our understanding of the universe. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future.
Northrop Grumman is seeking a statistician, mathematician, or operations research analyst for support to the Joint Distribution Process Analysis Center (JDPAC) at USTRANSCOM with a mission to provide analysis and engineering support to improve the nation's ability to move and sustain our forces throughout the globe. This position will work on the on the cutting edge to support statistical and modeling projects with multiple simultaneous projects covering a wide range of operational and business needs for the command. The qualified applicant will assist the USTRANSCOM in transforming the enterprise analytic approaches and data management.
Applies operations research, statistical, mathematical, and analytical techniques related to enterprise modeling and regression analysis
Collect and/or gather large sets of data and apply advanced techniques to ensure the data is reliable and of high quality for the targeted purpose.
Interpret large amounts of data with advanced approaches using sophisticated analytical and data visualization software or tools to discover patterns of the data.
Research and develop statistical learning models for complex data problems to identify opportunities through various advanced statistical, mining, algorithmic, and visualization techniques or more advanced methods such as artificial intelligence and machine learning.
Serves as a team analyst in the Joint Distribution Process Analysis Center (JDPAC) at USTRANSCOM responsible for reviewing and developing models and methods to support data and analysis.
Bachelor's degree from an accredited college or university in Operations Research, Mathematics, Statistics, Economics, Data analytics or related quantitative field with 4 years of experience or MS + 1 year of experience or PhD.
Working knowledge of tools such as R, Python, SQL, Matlab, SPSS, SAS, etc.
Working knowledge of business statistics and analytical methods, e.g. decision trees, regression modeling, machine learning, etc.
Demonstrated skills in solving problems, troubleshooting, and responsibility for ensuring customer satisfaction.
Ability to receive a Secret clearance (interim clearance required to commence task work).
5 years' experience in an enterprise data science or statistical data analytics role.
Working knowledge of Big Data environments.
Active DOD Secret Clearance.
Job Category : Research and Sciences