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Unlocking the secrets held by a data set and solving global challenges using IoT, machine learning, and artificial intelligence at Booz Allen

Requirements

• Experience with R or Python
• Experience using scientific methods to inform qualitative and quantitative analyses
• Experience with optimization, modeling and simulation, prediction, estimation, decision analysis, or engineering management
• Experience analyzing large-scale datasets
• Experience with data gathering, cleansing, and parsing
• Experience developing and applying optimization and simulation models
• Ability to work in Windows and Linux OS environments

Responsibilities

• Develop algorithms and systems to turn sets of disparate data points into objective answers
• Use the right combination of tools and frameworks to analyze data-rich environments
• Create real-world impact using analytical skills and data science knowledge
• Dig into data-rich environments to find the pieces of the information puzzle
• Provide a deep understanding of the data, what it all means, and how it can be used
• Work closely with clients to understand their questions and needs
• Use scientific methods to inform qualitative and quantitative analyses

Other

• 1+ years of experience in statistics, operations research, or advanced mathematics
• TS/SCI clearance with a polygraph
• HS diploma or GED
• Ability to work effectively in a collaborative and fast-paced environment
• Bachelor's degree in Operations Research, Applied Mathematics, or Data Science