SummaryData Scientists translate complex national defense and intelligence questions and business problems into actionable insights using advanced mathematical, statistical, and scientific techniques. They develop and apply methods (e.g., probabilistic modeling, artificial intelligence/machine learning (AI/ML), computer vision (CV)) to identify, collect, process, and analyze large volumes of data to info
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ADDITIONAL INFORMATION: This position may offer a recruitment incentive, subject to eligibility, and candidates must sign a service agreement requiring prorated repayment if the agreement is terminated before completion.
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Conditions of employment- US Citizenship is required.
- Designated or Random Drug Testing required.
- Security Investigation
SPECIAL INFO:
As a condition of employment at NGA, persons being considered for employment must meet NGA fitness for employment standards.
- U.S. Citizenship
- Security Clearance - Top Secret /Sensitive Compartmented Information (SCI)
- Polygraph & Drug Test
- Direct Deposit
- Trial Period during which we will evaluate your fitness and whether your continued employment advances the public interest. We may consider: performance conduct; needs and interests of the agency; and whether your continued employment would advance organizational goals of the agency or the Government and the efficiency of the Federal service
SPECIAL REQUIREMENTS:
You must be able to obtain and retain a Top Secret security clearance with access to SCI. In addition, you are subject to a Counterintelligence Polygraph examination in order to maintain access to Top Secret information. All employees are subject to a periodic examination on a random basis in order to determine continued eligibility. Refusal to take the examination may result in denial of access to Top Secret information, SAP, or unescorted access to SCIFs.
Employees with SCI access and who are under NGA cognizance are required to submit a Security Financial Disclosure Report, SF-714, on an annual basis in order to determine continued eligibility. Failure to comply may negatively impact continued access to Top Secret information, Information Systems, SAP, or unescorted access to SCIFs.
NGA utilizes all processes and procedures of the Defense Civilian Intelligence Personnel System (DCIPS). Non-executive NGA employees are assigned to five distinct pay bands based on the type and scope of work performed. The employee's base salary is established within their assigned pay band based on their unique qualifications. A performance pay process is conducted each year to determine a potential base pay salary increase and/or bonus. An employee's annual performance evaluation is a key factor in the performance pay process.
This position is a DCIPS position in the Excepted Service under 10 U.S.C. 1601. DoD Components with DCIPS positions apply Veterans' Preference to preference eligible candidates as defined by Section 2108 of Title 5 USC, in accordance with the procedures provided in DoD Instruction 1400.25, Volume 2005, DCIPS Employment and Placement. If you are an external applicant claiming veterans' preference, as defined by Section 2108 of Title 5 U.S.C., you must self-identify your eligibility.
QualificationsMANDATORY QUALIFICATION CRITERIA: For this particular job, applicants must meet all competencies reflected under the Mandatory Qualification Criteria to include education (if required). Online resumes must demonstrate qualification by providing specific examples and associated results, in response to the announcement's mandatory criteria specified in this vacancy announcement:
Demonstrated experience analyzing data sets or applying data analytic tools to satisfy customer and/or mission requirements
Demonstrated experience utilizing structured or unstructured data for exploratory data analysis, classification, regression and/or other types of statistical analysis.
Demonstrated experience analyzing data sets or applying data analytic tools to satisfy customer and/or mission requirements.
Demonstrated experience utilizing structured or unstructured data for exploratory data analysis, classification, regression and/or other types of statistical analysis.
Familiarity with cleaning, filtering, transforming, and/or enriching data.
Knowledge of one or more visualization techniques and/or software tools (i.e., Tableau, matplotlib, etc.)
EDUCATION REQUIREMENT: A. Education: Bachelor's degree from an accredited college or university in Mathematics, Data Science, Statistics, Computer Science, Geographic Information Science, Information Science, Informatics and Computing, or a related field that provided at least 6 semester hours in statistics and 9 additional semester hours in scientific or technical coursework such as engineering, medicine, physical, biological, or social sciences. Statistics semester hours should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing. -OR- B. Combination of Education and Experience: A minimum of 30 semester hours (45 quarter hours) of courses equivalent to a major field of study in any area listed in Option A plus experience that included programming for data science (e.g., Python, R) and a full range of professional statistical work such as: (a) intermediate and/or advanced statistics, (b) linear, semi-linear, and/or non-linear models, (c) working with a range of data types and statistical methods, or (d) data visualization capabilities. As a rule, every 30 semester (45 quarter) hours of coursework is equivalent to one year of experience. Candidates should show that their combination of education and experience totals 4 years.
DESIRABLE QUALIFICATION CRITERIA: In addition to the mandatory qualifications, experience in the following is desired:
Demonstrated experience communicating technical information verbally or in writing.
Knowledge of how to analyze big data sets.
Rudimentary experience of SQL, Python, R, Java or another programming language.
Additional informationCAREER ADVANCEMENT PROGRAM: All Professional Work Category positions advertised at a Pay Band 2 are part of NGA's Career Advancement Program (CAP). Employees in the Career Advancement Program will be evaluated semi-annually to determine if they meet the established program requirements. If requirements are met, employees will be eligible for a salary increase. Upon meeting all program requirements, the employee is eligible to be promoted non-competitively to a Pay Band 3. This promotion completes Career Advancement Program participation meaning the employee will no longer receive salary increases through the Career Advancement Program, and will now be evaluated in accordance to the Agency's standard evaluation processes.
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Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
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