Data Scientist

Description

Data Scientist 

Primary Location: Washington D.C. Metropolitan Area  

Clearance: Top Secret

Must be a US Citizen

This position is contingent on contract award.

Job Summary 

Obsidian Solutions Group (OSG) is seeking an Exploitation Specialist / Analytic Methodologist to join the Team!

Supporting National Geospatial-Intelligence Agency (NGA) providing and sustaining support that promotes mission excellence through applied modernized analytic techniques, data sciences, modeling, and automation that optimized service performance and innovation.

Specific Responsibilities 

· Develop methods for querying, visualizing, aggregating, correlating, and analyzing big data across intelligence disciplines

· Optimize existing databases to speed up the query, input, export, and visualization of data.

· Work with teams in NGA Analysis Operations (AO) Regional, Functional and Agency/CCMD Liaison Offices (collectively referred to   as "AO Offices") 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 applicable AO Office 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 

Requirements

· Possess a Bachelor's Degree or higher in math or a science related field or possess at least 7 years of relevant experience in lieu of a Bachelor's Degree.

· Experience applying multidisciplinary mathematical and statistical models via programming language to large datasets to extract patterns, relationships and anticipatory behavioral likelihoods that may not be apparent using traditional single discipline means

· Experience in developing tradecraft techniques and training solutions for discovery, preparation, manipulation and normalization of big data so that methods are repeatable and can be explained to analysts

· Experience using mathematical concepts and techniques to solve complex GEOINT analysis problem sets; understand concepts associated with structured data and relational databases

· Experience understanding and explaining the relationship between the data collected for a real­ world problem and the required structure of a relational database to help solve that problem

· Experience conceptualizing the relationship between a database structure and the requirements for analyzing and visualizing those data both temporally and spatially

· Experience writing scripts in Visual Basic, R, Python, Java, Javascript, C++ or other software for modeling processes, with a focus on repeatability, efficiency, knowledge capture, and hypothesis testing

· Experience using tools, such as ArcGIS, Excel, Python, SPSS, R, or other statistical packages, to analyze and visualize data; visualize data both temporally and spatially to assist in data integrity checks, ask the next question, and display analytical assessments

· Experience maintaining, moving and manipulating data between applications, using appropriate software and/or Extract-Transform-Load (ELT) procedures: Microsoft EXCEL spreadsheets, ACCESS database management system and/or ORACLE, Postgresql, or SQL Server and importing and cleaning analyst-provided datasets (Excel, geospatial data, etc.)

· Experience using statistical software (SPSS, SAS, Matlab etc.), desktop software (MS Office and Access), and the Windows operating environment. Of importance is software packages used for advanced statistical analysis of operational data

· Experience using GOTS data and analytics capabilities (MIST, INTELBOOK, LINX and WATCHBOX)

· Knowledge of intelligence operations and GEOINT phenomenology.

· Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data.

· Knowledge and experience using 1) ABI tools and tradecraft to include MIST, 2) SOM tools and SOM-C, GOWK, CEDALLION, and ATLAS, and 3) OBP tools.

Physical Requirements and Work Environment

 Normal Office environment 

Travel

 Occasional Long Distance