Data Scientist, National Geospatial-Intelligence Agency (NGA), Springfield, VA


National Geospatial-Intelligence Agency (NGA) -
N/A
Springfield, VA, US
N/A

Data Scientist

Job description

Cover LetterApplicants are not required to submit a cover letter for employment consideration with the National Geospatial-Intelligence Agency. However, a cover letter is recommended. Applicants will have the option to attach a cover letter in the Qualifications - Attachments step of the online application.Pay Band, Salary Range - Ext2023 DC Salary Chart Below:Band 04 $112,015 - $172,075Permanent Change in StationPERMANENT CHANGE IN STATION: PCS expenses may be authorized.NGA Marketing MessageThe National Geospatial-Intelligence Agency (NGA), the World Leader in Geospatial Intelligence. Imagine being able to identify anything on, above, or beneath the Earth's surface and display that information visually to provide a meaningful foundation for decision-making to ensure the safety of the world. That's the job of the National Geospatial-Intelligence Agency.We analyze imagery and data from many sources and incorporate it into visual displays of essential information for use in national defense, homeland security, and safety of navigation.Central to the success of our mission are the extraordinary talents and skills of our teams of analysts and other professionals. We need the best minds to provide the information edge, continuing NGA's role as the premier provider of Geospatial Intelligence worldwide.Know the World, Show the Way ... from Seabed to SpaceAssignment DescriptionASSIGNMENT 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 interpret diverse data sources, conduct data mining and retrieval, develop scripts and algorithms, and use a range of tools (e.g., coding languages, visualization software, GIS) to perform their work and communicate their findings. They translate intelligence or business problems into actionable data models and document and share repeatable studies, analysis, and products, as well as continually refine solutions. Data Scientists also manage data projects or teams, including collaborating with other data and IT subject matter experts to ensure the design and development of data-oriented products and services, such as data flow pipelines and applications.Additional InformationADDITIONAL INFORMATION: The Office of Diversity, Equity, Inclusion and Equal Employment Opportunity (ODE) oversees the Agency's overall DEI initiatives to eliminate barriers and obstacles to ensuring that each employee has the right to have employment opportunities based on individual merit and potential. ODE manages the EEO Program, to promote equal opportunity and to identify and eliminate discriminatory practices and policies, and manages NGA's Reasonable Accommodation (RA) and Sign Language Interpretation (SLI) program to ensure qualified applicants and employees with a disability have rights and privileges in employment equal to those of employees without disabilities.Qualifications MandatoryMANDATORY 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 using data visualization (e.g., scripts, algorithms, predictive models, etc.) for exploratory comparative analysis utilizing visualization tools such as Tableau, ArcGIS Pro, or Python/R visualization packages.2. Demonstrated experience utilizing structured or unstructured data for exploratory data analysis, classification, regression, and/or other types of statistical analysis.3. Experience analyzing, interpreting, and reporting on big data sets.4. Demonstrated experience cleaning, filtering, transforming, and/or enriching data.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.Qualifications DesirableDESIRABLE QUALIFICATION CRITERIA: In addition to the mandatory qualifications, experience in the following is desired:1. Experience in applying analytic techniques (classification, regression, clustering, data reduction, or causal modeling) to solve data problems.2. Demonstrated business acumen with an ability to comprehend and carryout organizational objectives and goals.3. Demonstrated ability to communicate technical methods and/or solutions to non-technical audiences verbally or in writing.Special Info ExternalAs 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 RequiredApplicant Evaluation ProcessAPPLICANT 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.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 ...@nga.mil. The decision on granting reasonable accommodation will be on a case-by-case basis.Disabled applicants are encouraged to apply directly to external job announcements in addition to the Resume Repository. NGA reserves the right to direct hire Disabled Veterans with 30%+ Comp in alignment with the NGA Hiring Strategy. By selecting this option on the application form and applying to the NGA Resume Repository, you may be considered for future direct hire against critical mission vacancies. Participation does not guarantee employment.BenefitsFor more information on the array of benefits programs, please visit

#J-18808-Ljbffr


Full-time 2024-06-14
N/A
N/A
USD

Privacy Policy  Contact US
Copyright © 2023 Employ America All rights reserved.