JOB DESCRIPTION: Data Scientists develop and apply methods to identify, collect, process, and analyze large volumes of data to build and enhance products and services. They apply advanced mathematical, statistical, and scientific techniques and principles (e.g., probabilistic modeling, machine learning, computer vision, natural language processing) to examine complex problems and create insights from data. They in

Duties

ADDITIONAL INFORMATION: This announcement is specifically for an NGA External Disability Recruitment Hiring Event through the NGA Persons with Disabilities (PWD) Hiring Program. This announcement is for external applicants only (non-NGA employees).To be considered applicants MUST submit a resume for a job announcement marked "Disability Recruitment Hiring Event" in NGA Candidate Gateway (CG) by 11:59PM EST on September 3. Applicants must be able to demonstrate Schedule A Disability or Veteran 30% or more Disabled Status when requested. Applicants selected for an interview will be notified via email on September 12. The email will contain a link to record an interview by 11:59PM EST on September 16. Specific details for the event will be provided within the email invite.All applicants must be U.S. citizens at the time of application. Applicants must be eligible and able to meet the agency's conditions of employment, to include NGA fitness for employment standards, Security Clearance (Top Secret/Sensitive Compartmented Information), Polygraph, Drug Testing, Two Year Probationary Period, and Direct Deposit Requirement. NGA does not guarantee any applicant the extension of an official offer of employment; however, NGA will be screening all employment applicants against its current and future manpower requirements. Selected applicants will be considered for the Agency's Hiring Pool. Selected candidates must be willing to relocate in support of mission requirements.Band 3 Data Scientists develop and apply a variety of methods to identify, collect, process, and analyze large volumes of data to build and enhance products, processes, and systems. They select techniques and methods to conduct data mining and retrieval, and apply statistical and mathematical analyses to identify trends, solve analytical problems, optimize performance, and gather intelligence to accomplish moderately complex assignments. They visualize information using an intermediate knowledge of a moderate range of tools (e.g., GIS, R), develop scripts and algorithms for current and future applications, create explanatory and predictive models, and conduct comparative analyses to address complex problems.This position may be eligible for a RECRUITMENT INCENTIVE: selected candidates may be offered an incentive as part of the offer of employment. To receive the incentive, selected candidates must be eligible under 5 CFR Part 575, Subpart A, upon issuance of the Final Offer Letter. Changes in federal employment status prior to issuance of the Final Offer Letter may affect eligibility. To receive the incentive, selected candidates will be required to sign a service agreement to stay within the position at NGA for the agreed upon time. If the service agreement is terminated before its completion, the employee may be required to repay a pro rata share amount of the incentive to the government. Additional information regarding recruitment incentives for current federal employees can be found in DoDI 1400.25, Volume 2006.

Requirements

• Security Investigation

Qualifications

MANDATORY 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: 1. Demonstrated experience utilizing visualization tools such as Tableau, ArcGIS Pro, or Python/R visualization packages.2. Demonstrated experience using data visualization (e.g., scripts, algorithms, predictive models, etc.) for exploratory comparative analysis.3. Demonstrated experience utilizing structured or unstructured data for exploratory data analysis, classification, regression and/or other types of statistical analysis.4. Knowledge of how to analyze big data sets.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. Credit toward meeting statistical course requirements 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: 1. Demonstrated expertise with one or more visualization techniques and/or software tools (i.e., Tableau, matplotlib, etc.)2. Experience in applying analytic techniques (classification, regression, clustering, data reduction, or causal modeling) to solve data problems.3. Experience collaborating with experts in other fields to analyze and respond to customer requirements.4. Familiarity with cloud services such as but not limited to AWS, Google Cloud Platform, or Azure.

Contacts

• Address NATIONAL GEOSPATIAL-INTELLIGENCE AGENCY Mailstop: S44-HDR 7500 GEOINT Drive Springfield, VA 22150 US
• Name: Recruitment
• Phone: 571-557-1999
• Email: [email protected]