Unlocking the secrets held by a data set to solve global challenges, including fraud detection, cancer research, and national intelligence, at Booz Allen
Requirements
- 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
- 2+ years of experience with statistical and general-purpose programming languages for data analysis
- Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing
- Knowledge of text mining or machine learning techniques
- 2+ years of experience in the development of algorithms leveraging R, Python, SQL, or NoSQL
- 2+ years of experience with Distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
- Experience with visualization packages, including Plotly, Seaborn, or ggplot2
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
- Create real-world impact by using analytical skills and data science knowledge
- Work closely with clients to understand their questions and needs
- Dig into data-rich environments to find the pieces of their information puzzle
- Develop predictive data models, quantitative analyses and visualization of targeted data sources
- Analyze structured and unstructured data sources
Other
- Secret clearance
- Bachelor’s degree
- TS/SCI clearance with a polygraph
- Master’s degree
- Ability to work on camera during interviews and assessments
