Booz Allen needs a data scientist to help turn complex data sets into useful information to solve global challenges across private and public sectors, from fraud detection to cancer research, to national intelligence.
Requirements
- Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
- Experience with natural language processing, text mining, or machine learning techniques
- Experience with statistical and general-purpose programming languages for data analysis
- Experience programming with data analysis software such as Python, R, MATLAB, @RISK, ARENA, or SAS
- Experience with FOSS and COTS products in statistics, Monte Carlo or discrete event simulation, ETL processes, and quantitative workflow automation
- Experience working in Windows and Linux OS environments
Responsibilities
- use your leadership skills and data science expertise to create real-world impact
- dig into their data-rich environments to find the pieces of their information puzzle
- guide teammates and lead the development of algorithms and systems
- use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions
- provide a deep understanding of the data, what it all means, and how it can be used
- conducting modeling and simulation or decision analysis
- data exploration, data cleaning, data analysis, data visualization, or data mining
Other
- TS/SCI clearance with a polygraph
- Ability to consult with non-technical audiences on technical problems, work in a highly collaborative, team-oriented environment, and balance long and short-term taskings
- Ability to take poorly defined problems and convert them into questions for which practical quantitative solutions can be defined
- Ability to exhibit flexibility, initiative, and innovation to succeed in an ambiguous and fast-paced environment and compose client deliverable quality documentation, analysis, and reports
- Possession of excellent verbal and written communication skills
