Req ID: 0101
Senior Data Scientist (10+ yrs experience) - NGA St. Louis, MO (N2W)
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Clearance Level - TS/SCI (Must be able to obtain CI Poly)
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Job Description:
Shall provide data science services in support of GEOINT analysis. Knowledge of data science, methodologies, and processing techniques shall be employed on behalf of GEOINT analysis and community customers while providing operational support. Individual data scientists shall have applied knowledge in five distinct areas depending on mission requirements:
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Applied Mathematics – Statistical and mathematical support to provide temporal and pattern analysis, correlation of events, probability analysis, assessments of sampling, machine learning analysis of variance and error, and regression testing and analysis.
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Programming Skills – Write scripts in Visual Basic, Python, or other software for modeling processes, repeatability, efficiency, knowledge capture, hypothesis testing and process automation.
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Data Stories – Document and visualize data both temporally and spatially to assist in data integrity checks, ask the next question, and display analytical assessments.
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Scientific Discipline – Implement scientific rigor of quantitative and qualitative techniques to enhance the analysis of complex national security problems.
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Capabilities Advancement - Apply emerging and innovative technologies to answer key intelligence questions. Provide technical consultation into the development, evaluation, use, and deployment of solutions to optimize GEOINT analysis and production.
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Must haves:
• Must have a background with intelligence experience, where they provided analysis and/or data science directly supporting an intelligence mission.
• Must be able to operate at a senior level and in an independent environment.
• Must be proficient at creating processes around large data sets to identify analytical discoveries,
• Demonstrated proficiency in designing and implementing scalable processes for large and complex datasets to identify trends, insights, and analytical discoveries.
• Must be able to script at a Senior Level in python. (Other languages, low/code-no/code programs (JEMA, Brewlytics, ArcModel Builder), etc. are great but they must have Python.)
• Must be able to take these discoveries and provide them through visualizations that are easily integrated into daily operations.
• Must be able to operate in high tempo environment and be able to develop and manage multiple projects and solutions at one time in various stages of implementation.
• Familiarity with common Intelligence Community (IC) data repositories.
