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CACI International Sr. Mathematician Modeling and Analytics in Charlottesville, Virginia

Sr. Mathematician Modeling and Analytics

Job Category: Science

Time Type: Full time

Minimum Clearance Required to Start: TS/SCI

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Continental US

What You’ll Get to Do:

You will provide support in development and application of data mining analysis, aggregation, fusion, and visualization to process, analyze, and integrate raw data facilitating the production and dissemination of S&TI and GMI relating to foreign ground forces research, development, systems, weapon employment, effects, and operations.

  • You get to integrate statistical data analysis with geospatial data and services to produce web services in an interactive map application. The focus of this work shall be to contribute to data-driven all-source analysis, assessment, and decision making for developing combat realistic foundational Intelligence in support of TMAP and ITASE.

  • You will be relied upon to ensure data is available in actionable, standard, and usable forms and the application of intelligence principles is in concert with a practical knowledge of information technology to provide direct technical mission support.

  • You design, develop, and implement custom tools designed to perform advanced data and GIS analysis, and automate workflows while working with structured and unstructured data sets. You also integrate and analyze data as necessary using MATLAB, Python, C++, and R and conduct statistical analysis of geospatial and S&T data.

More About the Role:

  • Plan, organize, coordinate, and prosecute simulations and analysis that utilizes models to enhance understanding of threat system performance and capabilities.

  • Translate analytic requirements into simulation strategies and then into working simulations for use by all-source analysts.

  • Apply a broad range of tools to analytical requirements to achieve credible simulation results.

  • Examine, screen, and verify reasonableness of data; make updates and corrections as appropriate.

  • Analyze data of real-world employment and effects to generate modeling and simulation tools and studies.

  • Generate reports and give presentations documenting the results of simulation projects.

  • Use other ORSA techniques in performance of Analysis of Alternatives and trade-space analysis.

Your expertise is relied upon to work collaboratively with STEM subject matter experts (SMEs) in :

  • Processing, tagging/labeling/parsing/indexing unstructured, semi-structured, and structured classified and unclassified data sets.

  • Developing research designs (including formulating testable questions, identifying and defining key concept and variables, and matching appropriate methods to problems.)

  • Data project management (including identifying, collecting, cleaning and preparing data) and creating, structuring, and maintaining data sets.

  • Data analysis (including manipulating datasets and interpreting findings using a mix of programs/environments (such as R, Python, MATLAB) and techniques (e.g., text and pattern analysis, supervised and unsupervised data clustering, classification, change/anomaly detection, time-series, regression, geospatial, and/or social network analysis.)

  • Develop process flows/visualizations and technological developmental roadmaps and capturing them in the appropriate databases and data analysis tools.

  • Contribute to data-driven all-source analysis, assessment, and decision making and implement innovative methodologies which enhance production and dissemination activities.

  • Use text/web data analytics for establishing and expanding keyword searches and using bibliometric analysis tools to perform horizon scans and deep dives into identified S&T research fields

  • Provide knowledge/familiarity of technical language

  • Provide experience with Big Data (parallel processing power and options for handling analysis of data)

  • Understand the retrieval processes from databases using industry-standard query languages (e.g., SQL)

You’ll Bring These Qualifications:

  • Current Top Secret/Specialized Compartmented Information Security Clearance. Must be willing to obtain a CI Polygraph.

  • MS Degree in Mathematics, Physics, Engineering, or Computer Science is preferred and must include 2 years (approximately 24 credit hours) of advanced mathematics.

These Qualifications Would be Nice to Have:

  • 5+ Years of relative experience

  • Experience with the NGIC and its production processes and IC databases

  • Understanding of Office of the Dir of National Intel (ODNI) Analytic Standards ICD 203 and ICD 206

  • Experience in DoD Science and Technology (S/T) offices

What We Can Offer You:

  • CACI’s mission places its personnel against the government’s most critical emerging challenges. Work with us, and you’ll be working with a team making a difference across the globe.

  • CACI offers competitive benefits as well as numerous learning and development opportunities for highly technical and engineering professionals.

  • As the Prime Contractor for this effort, CACI offers unmatched stability and growth potential within the program.

Company Overview: At CACI, you will have the opportunity to make an immediate impact by providing information solutions and services in support of national security missions and government transformation for Intelligence, Defense, and Federal Civilian customers. CACI is an Equal Opportunity Employer – Females/Minorities/Protected Veterans/Individuals with Disabilities.

As a federal contractor, CACI is subject to any federal vaccine mandates or other customer vaccination requirements. All new hires are required to report their vaccination status.