Exploitation Specialist - Data Scientist Senior

Job Description

Solis Applied Science is seeking a Senior level Exploitation Specialist - Data Scientist professionals with experience focused on conducting GEOINT data and intelligence science.

Positions will be located in Northern Virginia area.

Responsibilities

• The candidate will also provide scientific services in support of GEOINT analysis
• Apply advanced analytics capabilities to derive insights from a combination of unstructured, semi-structured, and structured data.
• Apply multidisciplinary mathematical and statistical models to large datasets to extract patterns, relationships, and anticipatory behavioral likelihoods that may not be apparent using traditional single discipline means.
• Develop or improve upon and document tradecraft techniques and training solutions for discovery, preparation, manipulation, and normalization of big data so that methods are repeatable and can be explained to non-data scientist analysts.
• Use mathematical concepts and techniques to solve complex GEOINT analysis problem sets; understand concepts associated with a structured data and relational databases.
• Conceptualize the relationship between a database structure and the requirements for analyzing and visualizing those data both temporally and spatially.
• Work with various stakeholders to develop data strategies and provide the data necessary to meet mission requirements.

Required Skills

Qualifications

• Top Secret with SCI adjudication (Must be able to obtain TS / SCI clearance with CI / Poly)
• 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 to include SOM-C, GOWK, CEDALLION, and ATLAS, and 3) OBP tools.

Additional Details

About Solis Applied Science

Solis Applied Science (Solis), a Service-Disabled Veteran-Owned Small Business, was founded in 2016 by remote sensing experts, with deep-rooted academic, federal, military, and industry applied science backgrounds.

From the onset, the focus of Solis has been to develop critical customer capabilities and apply novel technologies to problems across the remote sensing continuum.

The result is a distinct appreciation of how remote sensing technologies can influence real-world situations and a genuine desire to assist our customers in adapting to an ever-changing, technology-driven environment.

Our innovative, common-sense solutions solve the most complex problems our customers face and maximize return on their technology investments.