Data Scientist

Booz Allen Hamilton•Herndon, VA

1d•$99,000 - $225,000

About The Position

Data Scientist The Opportunity: 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. On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll 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. You’ll guide teammates and lead the development of algorithms and systems. You’ll 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. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can’t wait.

Requirements

3+ years of experience with using programming languages to manipulate and analyze data, including Python, R, and SQL
Experience with deploying and maintaining user-facing or user-accessible models
Experience with data cleansing, data analytics, inferential statistics, programming, data visualization, and system integration to provide data solutions
Experience with developing data visualizations, dashboards, or lightweight web applications to communicate key insights
Knowledge of research design principles
Knowledge of analytic methods and methodological tools used in applied mathematics, computer programming, or data visualization
Ability to apply supervised and unsupervised machine learning algorithms on structured and unstructured datasets
TS/SCI clearance with a polygraph
Bachelor’s degree

Nice To Haves

Experience with project management, project planning, and technical documentation
Knowledge of psychometric theory and assessment validation methodologies such as Item Response Theory and Factor Analysis
Knowledge of data strategy and data governance
Ability to advise clients on the acquisition of data, data management, and data infrastructure
Ability to execute projects and tasks with minimal guidance and supervision