Data Scientist

Company: National Geospatial Intelligence Agency
Location: Potomac
Posted on: January 15, 2022

Job Description:

Job Summary

ASSIGNMENT DESCRIPTION: Data Scientists develop and apply methods to identify, collect, process, and analyze large volumes of data to build and enhance products, processes, and systems. They conduct data mining and retrieval, and apply statistical and mathematical analyses to identify trends, solve analytical problems, optimize performance, and gather intelligence. They visualize information using a range of tools (e.g., GIS, R), develop scripts and algorithms, create explanatory and predictive models, and conduct comparative analyses to address complex problems.

Additional Job Information

ADDITIONAL INFORMATION: The National Geospatial-Intelligence Agency (NGA) serves as the world leader in providing timely, relevant, accurate and actionable geospatial intelligence (GEOINT). NGA's civilian, military and contract personnel evaluate imagery, maps, charts, multiple layers of foundation data - such as terrain, elevation and gravity - and the full spectrum of visible and invisible light in order to help users visualize what is happening at a particular place and time. Our intelligence officers go beyond describing 'what, where and when' to revealing 'how and why.' Our work enables decision advantage for our policymakers, warfighters, intelligence professionals and first responders.

Band 4 Data Scientists lead efforts to develop and apply methods to identify, collect, process, and analyze large volumes of data to build and enhance products, processes, and systems. They apply the application of programming, statistics and visualization to glean insights from large and disparate data sources. Data Scientists understand and utilize aspects of machine learning to solve and automate classification, regression, cluster analysis, anomaly detection, association discovery, and topic modeling tasks. These scientists understand and utilize solutions with predictive patterns from data into practical, intelligent applications that anyone can use. They visualize information using a range of tools, develop scripts and algorithms, create explanatory and predictive models and conduct comparative analyses to address complex problems.

Other duties may include:

* Lead and develop quantitative and qualitative analytic methods to identify, collect, process, and analyze large data sets for specified purposes.
* Identify complex trends, solve analytical problems, optimize performance, and develop results through appropriate data analysis techniques (e.g., data mining and retrieval).
* Develop complex applied statistics, build algorithms, and collaborating with domain experts to analyze large volumes of data to build and enhance products, processes, and systems.
* Demonstrate the ability to think tactically and strategically; operate in a dynamic environment; and deliver interoperable corporate solutions.
* Extensive experience in creating and maintaining geodatabases and integrating and managing foundation, intelligence, and multi-INT data into structured geodatabases.
* Discover and utilize spatial data from classified and unclassified sources and existing tools or develop methods to tie spatial information to datasets where necessary.
* Initiate, build and maintain professional relationships with other NGA offices and external partners to collaborate on effective data management, data dissemination, and online on-demand practices.
* Lead data mining and retrieval efforts and apply statistical and mathematical analysis to identify trends, solve analytic problems, optimize performance, and gather intelligence.
* Create and develop complex scripts and algorithms (e.g. Python), create explanatory and predictive models and conduct comparative analyses to address complex military and intelligence problems.
* Create visualizations of information using a range of tools (e.g. Tableau, R, and ESRI Arc-GIS 10.4 suite, including model builder).
* Provide excellent customer support and consultation, interacting with analytic units in a professional manner to understand their challenges, incorporate their feedback, and provide quality solutions.

This position may be eligible for an INCENTIVE: selected candidates may be offered an incentive as part of the offer of employment, based on budget availability. To receive the incentive, selected candidates must be eligible under 5 CFR Part 575 upon issuance of the Final Offer Letter. Changes in federal employment status prior to issuance of the Final Offer Letter may affect eligibility. Incentive recipients sign a service agreement depending on the approved amount or duration of the incentive. If the employee leaves before the end of the service agreement, the employee may be required to repay a pro rata share amount of the incentive to the government.

Additional Application Requirement: You may be asked to complete one or more assessments in addition to the application you submit on this website as part of your application to NGA. These assessments may include but are not limited to:

1) Online questionnaires or assessments that require you to describe your job-related knowledge, skills, abilities, or other characteristics that are aligned with the mandatory and desirable qualifications of this job posting. The information you provide in the application you submit must support the response you provide to this questionnaire. You will receive an email to describe any additional assessments required. Please monitor your emails and complete any required assessments as soon as possible.

Mandatory 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 applications 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 proficiency in applied programming and/or manipulation of data with a programing language such as Python, R, SQL or Java(others languages will be considered).

2. Demonstrated experience developing and deploying automated processes to identify, collect, process, and analyze large data sets.

3. Demonstrated expertise with the use of data visualizations for exploratory comparative analysis by way of scripts, algorithms, and/or predictive models.

4. Demonstrated experience cleaning, filtering, transforming data, and/or enriching data.

As required by Executive Order 14043, Federal employees are required to be fully vaccinated against COVID-19 regardless of the employee's duty location or work arrangement (e.g., telework, remote work, etc.), subject to such exceptions as required by law. If selected, you will be required to be vaccinated against COVID-19 and submit documentation of proof of vaccination by November 22, 2021 or before appointment or onboarding with the agency, if after November 22. The agency will provide additional information regarding what information or documentation will be needed and how you can request of the agency a legally required exception from this requirement.

EDUCATION REQUIREMENT: A. Education: Bachelor's degree from an accredited college or university in Mathematics, Data Science, Geographic Information Science, Information Science, Informatics and Computing, Information Science, or degree that provided at least 6 semester hours in statistics, and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. 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 24 semester (36 quarter) hours of coursework in any area listed in option A, plus experience that should have included 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.

Highly Desired Qualifications

QUALIFICATION CRITERIA: In addition to the mandatory qualifications, experience in the following is desired:

1. Experience as a proven innovator and strategic problem solver.

2. Ability to communicate technically complex methods and solutions to non-technical audiences verbally or in writing.

3. Familiarity working with DoD analysts, such as geospatial and/or imagery analysts.

4. Familiarity with cloud services as applied in the DoD and IC.

5. Demonstrated expertise with visualization techniques and software tools (i.e. Tableau, R, Python, matplotlib, etc.).

6. Experience in applying analytic techniques such as classification, regression, similarity matching, clustering, co-occurrence grouping, profiling, link prediction, data reduction, and causal modeling

Additional Job Requirements

You must be able to obtain and retain a Top Secret security clearance with access to Sensitive Compartmented Information. 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, and/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, and/or unescorted access to SCIFs.

Pay, Benefits, & Work Schedule

PROMOTION OPPORTUNITY: Promotion opportunities allow applicants at all band levels to be considered. Qualifications for NGA positions do not include specific time-in-band requirements. NGA will emphasize quality of experience, rather than duration, and assess how the quality of the experience demonstrates possession of the knowledge, skills, abilities, and competencies necessary for successful job performance in the NGA occupational structure.

Band 04 $106,823 - $164,102

PERMANENT CHANGE IN STATION: PCS expenses are not authorized.

Pay is only part of the compensation you will earn working for the Federal Government. We offer a broad array of benefits programs and family friendly flexibilities to meet the needs of you and your family.

For more information on the array of benefits programs, please visit https://www.intelligencecareers.gov/nga/ngabenefits.html

Cover Letter

Applicants are not required to submit a cover letter. The entire cover letter cannot exceed the specified limits provided in the Cover Letter field (3,000 characters). Pages exceeding this limit will not be considered. The cover letter is recommended but is not required for employment consideration with the National Geospatial-Intelligence Agency. Applicants should place their narrative information in the Cover Letter / Other Professional Details field.

Who may apply

External Applicants Only

How to apply

Application submission involves applying using the Intelligence Community's Applicant Gateway on-line application process.

ONLY ELECTRONIC SUBMISSIONS WILL BE ACCEPTED.

How will I be evaluated?

APPLICANT EVALUATION PROCESS: Applicants will be evaluated for this job opportunity in three stages:

1) All applicants will be evaluated using the Mandatory Qualification Criteria,

2) Qualified applicants will then be evaluated by an expert or panel of experts using a combination of qualification criteria to determine the best-qualified candidates,

3) Best-qualified applicants may then be further evaluated through an interview process.

Military retiree applicants, if selected, may be impacted by the 180-day appointment restrictions of DODI 1402.01. HD personnel will provide additional information if applicable.

Applicants are encouraged to carefully review the Assignment Description, Additional Information Provided By the Selecting Official, and the Qualification Requirements; and then construct their resumes to highlight their most relevant and significant experience and education for this job opportunity. This description should include examples that detail the level and complexity of the performed work. Applicants are encouraged to provide any education information referenced in the announcement. If education is listed as a mandatory requirement, only degrees obtained from an institution accredited by an accrediting organization recognized by the Secretary, US Department of Education will be accepted.

In accordance with section 9902(h) of title 5, United States Code, annuitants reemployed in the Department of Defense shall receive full annuity and salary upon appointment. They shall not be eligible for retirement contributions, participation in the Thrift Savings Plan, or a supplemental or redetermined annuity for the reemployment period. Discontinued service retirement annuitants (i.e., retired under section 8336(d)(1) or 8414(b)(1)(A) of title 5, United States Code) appointed to the Department of Defense may elect to be subject to retirement provisions of the new appointment as appropriate. (See DoD Instruction 1400.25, Volume 300, at http://www.dtic.mil/whs/directives.)

All candidates will be considered without regard to race, color, religion, sex, national origin, age, marital status, disability, or sexual orientation.

NGA provides reasonable accommodations to applicants with disabilities. Applications will only be accepted online. If you need a reasonable accommodation for any part of the application and hiring process, please notify us at recruitment@nga.mil. The decision on granting reasonable accommodation will be on a case-by-case basis.

Conditions of Employment

As a condition of employment at NGA, persons being considered for employment must meet NGA fitness for employment standards.

* U.S. Citizenship Required
* Security Clearance (Top Secret/Sensitive Compartmented Information)
* Polygraph Test Required
* Position Subject to Drug Testing
* Two Year Probationary Period
* Direct Deposit Required

DCIPS Disclaimer

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. Employees on term or temporary appointments are not eligible to apply for internal assignment opportunity notices.

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 in your application.

Keywords: National Geospatial Intelligence Agency, Potomac , Data Scientist, Other , Potomac, Maryland