Unlocking the secrets held by a data set and solving global challenges using data science, IoT, machine learning, and artificial intelligence at Booz Allen
Requirements
- Experience with statistical and general-purpose programming languages for data analysis
- 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 implementing automation in processing, presenting, or manipulating data
- Knowledge of high-side tools, including Analyst Notebook, ArcGIS, Joint Enterprise Modeling Analytic (JEMA), DataXplorer, and VOLTRON
- Experience working with SIGINT and HUMINT
- Experience with Python data science and visualization packages
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
- Develop predictive data models, quantitative analyses, and visualization of targeted data sources
- Implement automation in processing, presenting, or manipulating data
- Analyze structured and unstructured data sources
- Use statistical and general-purpose programming languages for data analysis
- Apply natural language processing, text mining, or machine learning techniques
Other
- Active TS/SCI clearance; willingness to take a polygraph exam
- Bachelor’s degree
- 4+ years of experience with network development or targeting
- 3+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
- Ability to work in a team environment and collaborate with clients
