Data Scientist with Security Clearance

About the role G3 is looking for a Data Scientist to develop methods for querying, visualizing, aggregating, correlating, and analyzing big data across intelligence disciplines. Optimize databases, expose new datasets, build custom tools, and apply mathematical concepts to solve complex geospatial intelligence analysis problems. Responsibilities

• Develop methods for querying, visualizing, aggregating, correlating, and analyzing big data across intel disciplines
• Optimize existing databases to speed up the query, input, export and visualization of data
• Work with AOS and AOB teams to develop strategies for exposing new datasets and create migration plans for legacy datasets
• Build custom solutions (tools, processes, etc.) to automate or assist analytic endeavors as submitted by AOS and AOB 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, and enable hypothesis testing and knowledge capture
• Use mathematical concepts and techniques to solve complex GEOINT analysis problems
• Utilize ArcGIS, Excel, SPSS, SAS, MATLAB, R and other statistical packages to analyze and visualize operational data
• Visualize data both temporally and spatially to assist in data integrity checks, prepare follow-on analysis, ask the next question, and display analytical assessments
• Maintain, move and manipulate data between applications using SQL databases, ArcServer, table data, relational/NoSQL DBMS, Excel, Access, Tableau, Insights, Oracle
• 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 Required qualifications
• Active TS/SCI security clearance
• Bachelor's degree in Computer Science, Mathematics, Statistics, or related technical field required; Master's degree preferred
• 3+ years of experience in data science, data analysis, or related field
• Strong proficiency in SQL and relational database concepts
• Experience with statistical programming languages such as R, Python, MATLAB
• Knowledge of geospatial analysis concepts and tools such as ArcGIS
• Familiarity with big data technologies like Hadoop, Spark, NoSQL databases
• Excellent problem-solving skills and ability to develop innovative solutions
• Strong verbal and written communication skills Preferred qualifications
• 5+ years of experience in data science, preferably in the intelligence community
• Experience working with geospatial intelligence data and products
• Knowledge of NGA's mission, organization, and functions
• Familiarity with IC data sources, tools, and analytic methodologies
• Experience developing and deploying machine learning models
• Ability to collaborate effectively in cross-functional teams
• Strong leadership skills and ability to mentor junior analysts