SAS Engineer (Asymmetric Threat Statistical Analyst)
As an SAS Engineer Asymmetric Threat Statistical Analyst, you will provide analytical support to our government client and forward deployed units. You will focus on countering improvised threats and the networks that finance, build, or employ such threats. Duties will include providing large-scale advanced analytics support; collecting, parsing, transforming, and integrating relevant data in support of projects; and providing operational, systems, and intelligence analysis to support the mission.
You will apply your expertise to provide data supporting strategic and operational requests from deployed and deploying units. This data may be used to: assist decision makers with risk assessments, prioritization, and/or to provide leadership with quantitative organizational assessments to support functional evaluations.
You will develop, document, implement, and automate SAS ETL (extract transform load) processes that most efficiently import structured, semi-structured, and unstructured data from new and/or dynamic data sources, ensuring data validity, reliability, and availability to users.
You will collaborate with team members to ensure retrieval of information pertinent to current work and timely dissemination of counter asymmetric threat products
Master's in a technical discipline plus five (5) years of experience; or Bachelor's in a technical field plus seven (7) years of experience.
SAS Certification as a BASE Programmer.
Ability to achieve the SAS Certified ADVANCED
within six months of hire.
Current Top Secret/Specialized Compartmented Information Security Clearance.
The ability to effectively communicate both orally and in writing.
These Qualifications Would be Nice to Have:
SAS Certified ADVANCED
prior to employment.
Degree in one of the following disciplines: Operations Research, Applied Mathematics, Engineering, Science, Computer Science, Mathematics, or Statistics.
Knowledge of how to utilize SAS/STAT and SAS/OR to perform network analysis, cluster analysis, sentiment analysis, and other statistical modeling that seeks to better describe and predict events.
Knowledge of how to utilize SAS BI to develop Business Intelligence processes that improve readability of and access to data, through the creation of stored processes, OLAP cubes, stoplight reporting, and data and metadata dashboards.
Significant coding experience in SAS (including Base, SQL, and macro).
Ability to create complex programs in SAS that ingest, parse, clean, transform, and analyze large (millions of records) datasets; to apply mathematical and statistical models to real-world data, and; to deliver analytical results through written and oral presentations.
Prior experience utilizing ETL software (e.g., PowerCenter, Pentaho, PLSQL), Business Intelligence software (e.g., SAS BI, Oracle BI, Cognos, Business Objects), or Geospatial Information Systems (GIS) software (e.g., ESRI ArcGIS suite) is preferred.
Prior experience as an all-source intelligence analyst or ORSA
Prior experience with Counter-IED operations.
Prior experience with Counter UAS operations.
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