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

**This job announcement is for NGA's Virtual Hiring Event scheduled for January 30, 2024.**ASSIGNMENT DESCRIPTION: 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.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.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 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.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 structured or unstructured data for exploratory data analysis, classification, regression and/or other types of statistical analysis2. Knowledge of how to analyze big data sets.3. Demonstrated experience cleaning, filtering, transforming, and/or enriching data.4. Demonstrated experience manipulating data using a programing language such as: Python, R, SQL or similar. 5. 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. 6. Demonstrated experience communicating technical information verbally or in writing.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. Experience collaborating with experts in other fields to analyze and respond to customer requirements2. Demonstrated business acumen with an ability to comprehend and carryout organizational objectives and goals.3. Experience in applying analytic techniques (classification, regression, clustering, data reduction, or causal modeling) to solve data problems.4. Familiarity with cloud services such as but not limited to AWS, Google Cloud Platform, or Azure. 5. Familiarity with text analysis and natural language processing. 6. Experience solving strategic challenges and implementing solutions.

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]