As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data.
Requirements
- Experience with statistical and general-purpose programming languages for data analysis
- Experience in the development of algorithms leveraging R, Python, SQL, or NoSQL
- Experience with natural language processing, text mining, generative AI or machine learning techniques
- Experience analyzing structured and unstructured data sources
- Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
- Experience with Distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
- Experience with visualization packages, including Plotly, Seaborn, or ggplot2
Responsibilities
- use your 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
- data exploration, data cleaning, data analysis, data visualization, data engineering, software development, systems engineering, or data mining
- development of algorithms leveraging R, Python, SQL, or NoSQL
Other
- 3+ years of experience with data exploration, data cleaning, data analysis, data visualization, data engineering, software development, systems engineering, or data mining
- Secret clearance
- TS/SCI clearance with a polygraph
- Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits.
- As part of the application process, you are expected to be on camera during interviews and assessments.
