Today
Top Secret
Early Career (2+ yrs experience)
$130,000 - $150,000
Occasional travel
IT - Data Science
Charlottesville, VA (On-Site/Office)
SE2S is seeking a Mathematical/Statistical Scientist who possesses a strong
background in the development and application of data mining, analysis, aggregation,
fusion, and visualization in order to process, analyze, and integrate raw data facilitating the
production and dissemination of scientific and technical intelligence and general military
intelligence relating to foreign ground forces research, development, systems, and operations.
Focus of work is to contribute to data- driven all-source analysis, assessment, and decision
making and implement innovative methodologies which enhance production and
dissemination activities.
Job Responsibilities:
Processing, tagging/labeling/parsing/indexing unstructured, semi-structured, and
structured classified and unclassified data sets.
• Developing research designs (including formulating testable questions, identifying and
defining key concepts and variables and matching appropriate methods to problems.)
• Data project management (including cleaning and preparing data) and creating, structuring,
and maintaining data sets.
• Data analysis (including manipulating datasets and interpreting findings using a mix of
programs/environments (such as R, Python, Matlab) and techniques (e.g., text and pattern
analysis, supervised and unsupervised data clustering, classification, change/anomaly
detection, time-series, regression, geospatial, and/or social network analysis.)
• Developing process flows/visualizations and technological developmental roadmaps and
capturing them in the NGIC TechWatch Tool
• Using text/web data analytics for establishing and expanding keyword searches and using
bibliometric analysis tools to perform horizon scans and deep dives into NGIC identified
S&T research fields
• Creating mathematical models and coding in R, Python, MatLab, and Excel
• Natural Language Processing
• Providing knowledge/familiarity of technical language
• Providing experience with Big Data (parallel processing power and options for handling
analysis of data)
• Understanding the retrieval processes from databases using industry-standard query
languages (e.g., SQL)
background in the development and application of data mining, analysis, aggregation,
fusion, and visualization in order to process, analyze, and integrate raw data facilitating the
production and dissemination of scientific and technical intelligence and general military
intelligence relating to foreign ground forces research, development, systems, and operations.
Focus of work is to contribute to data- driven all-source analysis, assessment, and decision
making and implement innovative methodologies which enhance production and
dissemination activities.
Job Responsibilities:
Processing, tagging/labeling/parsing/indexing unstructured, semi-structured, and
structured classified and unclassified data sets.
• Developing research designs (including formulating testable questions, identifying and
defining key concepts and variables and matching appropriate methods to problems.)
• Data project management (including cleaning and preparing data) and creating, structuring,
and maintaining data sets.
• Data analysis (including manipulating datasets and interpreting findings using a mix of
programs/environments (such as R, Python, Matlab) and techniques (e.g., text and pattern
analysis, supervised and unsupervised data clustering, classification, change/anomaly
detection, time-series, regression, geospatial, and/or social network analysis.)
• Developing process flows/visualizations and technological developmental roadmaps and
capturing them in the NGIC TechWatch Tool
• Using text/web data analytics for establishing and expanding keyword searches and using
bibliometric analysis tools to perform horizon scans and deep dives into NGIC identified
S&T research fields
• Creating mathematical models and coding in R, Python, MatLab, and Excel
• Natural Language Processing
• Providing knowledge/familiarity of technical language
• Providing experience with Big Data (parallel processing power and options for handling
analysis of data)
• Understanding the retrieval processes from databases using industry-standard query
languages (e.g., SQL)
group id: 91113050
