Jan 24
Top Secret/SCI
Early Career (2+ yrs experience)
CI Polygraph
IT - Data Science
McLean, VA (On-Site/Office)
We are actively hiring a Data Scientist to join our Department of Homeland Security Division working in McLean, VA. The Data Scientist will contribute to building new analytical tools and packages across the enterprise and will be expected to collaborate with team members in a highly technical environment. In this role you will support a fast-paced and growing data science team working on projects critical to National Security.
RESPONSIBILITIES
The Data Scientist will be expected to build statistical models, test hypotheses, interpret, summarize, visualize, and succinctly report on data findings.
The Data Scientist will perform research on various data sources, to include unstructured data using quantitative and qualitative content analytics.
The Data Scientist will construct and perform complex database search queries in multiple databases using SQL and API interfaces.
The Data Scientist will perform web scraping and apply various techniques for processing unstructured data.
The Data Scientist will leverage automation and machine learning to manage data, predict scenarios and make recommendations.
The Data Scientist will contribute to building new analytical tools and packages across the enterprise and will be expected to collaborate with team members in a highly technical environment.
The Data Scientist will be expected to learn and leverage emerging technologies including AWS and Git.
REQUIRED EDUCATION & EXPERIENCE
Bachelor’s degree, preferably in a technical field, such as statistics
In order to qualify as a Journeyman, candidates are required to have a BS degree + a minimum of 3 years of applicable work experience.
TS/SCI clearance with polygraph required
Strong experience working with Python
Experience working with data manipulation, analytic/business insight tools, and data visualization experience
Experience constructing and performing complex database search queries
Experience/ knowledge of computer science concepts, data architecture, and experience/knowledge of statistics
Demonstrated experience using statistical and machine learning techniques including supervised and unsupervised learning and natural language processing
Experience /familiarity with frequentist statistics and probability including predicative modeling
RESPONSIBILITIES
The Data Scientist will be expected to build statistical models, test hypotheses, interpret, summarize, visualize, and succinctly report on data findings.
The Data Scientist will perform research on various data sources, to include unstructured data using quantitative and qualitative content analytics.
The Data Scientist will construct and perform complex database search queries in multiple databases using SQL and API interfaces.
The Data Scientist will perform web scraping and apply various techniques for processing unstructured data.
The Data Scientist will leverage automation and machine learning to manage data, predict scenarios and make recommendations.
The Data Scientist will contribute to building new analytical tools and packages across the enterprise and will be expected to collaborate with team members in a highly technical environment.
The Data Scientist will be expected to learn and leverage emerging technologies including AWS and Git.
REQUIRED EDUCATION & EXPERIENCE
Bachelor’s degree, preferably in a technical field, such as statistics
In order to qualify as a Journeyman, candidates are required to have a BS degree + a minimum of 3 years of applicable work experience.
TS/SCI clearance with polygraph required
Strong experience working with Python
Experience working with data manipulation, analytic/business insight tools, and data visualization experience
Experience constructing and performing complex database search queries
Experience/ knowledge of computer science concepts, data architecture, and experience/knowledge of statistics
Demonstrated experience using statistical and machine learning techniques including supervised and unsupervised learning and natural language processing
Experience /familiarity with frequentist statistics and probability including predicative modeling
group id: 10176222
