Data Scientist with Security Clearance, Trevity LLC, Burke, VA
Trevity LLC -
Burke, VA,
US
Data Scientist with Security Clearance
Date Posted: 2024-05-07
Job description
Requisition Overview: Trevity LLC is currently searching for seasoned Data Science Experts to provide direct support to imagery and geospatial analysts in meeting the extensive and time-sensitive analytic requirements that can have a significant impact on national security. These services will directly support NGA and its customers with varying mission timelines and requirements for current and crisis support. Services will aid NGA in providing analytical GEOINT support to Mission Partners and customers worldwide. Required Experience and Education: Senior: 10+ years relevant experience with High School diploma and specialized training Mid: 3+ years relevant experience with High School diploma and specialized training Bachelor s degree in related field can be included for up to 4 years of experience
Master s degree in related field can be included for an additional two years of experience Required/Desired Skills: Develop methods for querying, visualizing, aggregating, and correlating big data across intelligence disciplines
Optimize existing databases to speed up the query, input, export, and visualization of data.
Work with team to develop strategies for exposing new data sets and create migration plans for legacy data sets.
Build custom solutions (tools, processes, etc.) to automate or assist analytic endeavors as submitted by leadership and analytic units.
Write scripts in Visual Basic, R, Python or other software for statistical models using large datasets to extract patterns, relationships, and anticipatory behaviors that are repeatable, efficient, hypothesis testing, and knowledge capture.
Use mathematical concepts and techniques to solve complex GEOINT analysis problem sets; understand concepts associated with structured data and relational databases
Use tools, such as Arc GIS, Excel, SPSS, SAS, MatLab, R, or other statistical packages, to analyze and visualize operational data; visualize data both temporally and spatially to assist in data integrity checks, prepare for follow-on analysis, ask the next question, and display analytical assessments
Maintain, move and manipulate data between applications, using appropriate software; SQL databases, ArcServer, table data, relational/NoSQL DBMS, Microsoft EXCEL spreadsheets, ACCESS database management system, Tableau, Insights, ORACLE, and analyst provided data for ingest and cleaning.
Be available for troubleshooting access and performance issues.
Develop tradecraft techniques and training solutions for discovery, preparation, manipulation and normalization of big data so that methods are repeatable and can be explained to users
Master s degree in related field can be included for an additional two years of experience Required/Desired Skills: Develop methods for querying, visualizing, aggregating, and correlating big data across intelligence disciplines
Optimize existing databases to speed up the query, input, export, and visualization of data.
Work with team to develop strategies for exposing new data sets and create migration plans for legacy data sets.
Build custom solutions (tools, processes, etc.) to automate or assist analytic endeavors as submitted by leadership and analytic units.
Write scripts in Visual Basic, R, Python or other software for statistical models using large datasets to extract patterns, relationships, and anticipatory behaviors that are repeatable, efficient, hypothesis testing, and knowledge capture.
Use mathematical concepts and techniques to solve complex GEOINT analysis problem sets; understand concepts associated with structured data and relational databases
Use tools, such as Arc GIS, Excel, SPSS, SAS, MatLab, R, or other statistical packages, to analyze and visualize operational data; visualize data both temporally and spatially to assist in data integrity checks, prepare for follow-on analysis, ask the next question, and display analytical assessments
Maintain, move and manipulate data between applications, using appropriate software; SQL databases, ArcServer, table data, relational/NoSQL DBMS, Microsoft EXCEL spreadsheets, ACCESS database management system, Tableau, Insights, ORACLE, and analyst provided data for ingest and cleaning.
Be available for troubleshooting access and performance issues.
Develop tradecraft techniques and training solutions for discovery, preparation, manipulation and normalization of big data so that methods are repeatable and can be explained to users