Unlocking the secrets held by a data set to solve global challenges in various sectors such as fraud detection, cancer research, and national intelligence at Booz Allen
Requirements
- 3+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
- 3+ years of experience with analyzing structured and unstructured data sources
- Experience with statistical and general-purpose programming languages for data analysis
- Experience with 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
- Experience in the development of algorithms leveraging Python and SQL (nice to have)
Responsibilities
- Create real-world impact using leadership skills and data science expertise
- 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
- Analyze structured and unstructured data sources
- Develop predictive data models, quantitative analyses, and visualization of targeted data sources
- Implement automation in processing, presenting, or manipulating data
- Lead the development of solutions to complex problems
Other
- Active TS/SCI clearance; willingness to take a polygraph exam
- Bachelor’s degree
- TS/SCI clearance with a polygraph (nice to have)
