About the job
As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. 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.
Responsibilities
Work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. Develop algorithms and systems. Use the right combination of tools and frameworks to turn sets of disparate data points into objective answers so that your clients can make informed decisions. Provide a deep understanding of the data, what it all means, and how it can be used.
Qualifications
Minimum
Experience with data exploration, data cleaning, data analysis, data visualization, or data mining
Experience with statistical and general-purpose programming languages for data analysis
Knowledge of structured and unstructured data sources
Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing
Ability to develop predictive data models, quantitative analyses and visualization of targeted data sources
Ability to deploy natural language processing, text mining, or machine learning techniques
Secret clearance
Bachelor’s degree
Preferred
Experience in the development of algorithms leveraging R, Python, or SQL and NoSQL
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
TS/SCI clearance with a polygraph
Master’s degree