Data Scientist Mid-Level (Bethalto,IL)
Company: National Geospatial-Intelligence Agency (NGA)
Posted on: May 5, 2021
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
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).
Data Scientists 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. Data Scientists understand and utilize solutions
with predictive patterns from data into practical, intelligent
applications that anyone can use. They can utilize rich toolsets to
help users create, rapidly experiment, fully automate, and manage
machine learning workflows to power intelligent applications.
They produce intelligence using geospatial methodologies and
spatio-temporal data derived from imagery, intelligence databases,
and other classified and unclassified sources in support of
national security. They are intelligence analysts who use their
understanding of geographic information science and technology,
spatial thinking, remote sensing, intelligence issues, spatial
relationships and visualization techniques and the social and
physical sciences to create information, characterize events, and
discover relationships and trends. They produce descriptive and
predictive analyses and communicate findings as written, visual,
and/or oral geospatial intelligence.
Other duties may include:
* Develop and apply quantitative and qualitative analytic methods
to identify, collect, process, and analyze large data sets for
* Identify trends, solves analytical problems, optimizes
performance, and develop results through appropriate data analysis
techniques (e.g., data mining and retrieval);
* Use applied statistics, build algorithms, and collaborating with
domain experts to analyze large volumes of data to build and
enhance products, processes, and systems
* Possess the ability to think tactically and strategically;
operate in a dynamic environment; and deliver interoperable
* They will have extensive experience in building and maintaining
geodatabases and integrating and managing foundation, intelligence,
and multi-INT data into structured geodatabases.
* Seek out spatial data from classified and unclassified sources
and utilize existing tools or develop methods to tie spatial
information to datasets where necessary.
* Builds and maintains professional relationships with other NGA
offices and external partners to collaborate on effective data
management, data dissemination, and online on-demand practices
* Conduct data mining and retrieval and apply statistical and
mathematical analysis to identify trends, solve analytic problems,
optimize performance, and gather intelligence.
* Develop scripts and algorithms (e.g. Python), create explanatory
and predictive models and conduct comparative analyses to address
complex military and intelligence problems.
* Support the visualization of information using a range of tools
(e.g. Tableau, R, and ESRI Arc-GIS 10.4 suite, including model
* Provide excellent customer support and interact with analytic
units in a professional manner to help 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
Candidates may receive an invitation to provide additional
information or respond to questions via email and/or HireVue as
part of the candidate evaluation process.
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(U) , 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 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:
- Demonstrated proficiency in applied programming or manipulation
of data with a programing language such as Python, R, SQL or Java.
(others languages will be considered)
- Demonstrated experience developing and deploying automated
processes to identify, collect, process, and analyze large data
- Demonstrated expertise with the use of data visualizations for
exploratory comparative analysis by way of scripts, algorithms, or
- Demonstrated experience cleaning, filtering, transforming data,
or enriching data.
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:
- Experience as a proven innovator and strategic problem
- Ability to communicate technically complex methods and
solutions to non-technical audiences verbally or in writing.
- Familiarity with working with DoD analysts, such as geospatial
or imagery analyst.
- Familiarity with cloud services as applied in the DoD and
- Demonstrated expertise with visualization techniques and
software tools (i.e. Tableau, matplotlib, etc.).
- Experience in applying analytic techniques such as
classification, regression, similarity matching, clustering,
co-occurrence grouping, profiling, link prediction, data reduction,
or 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..... click apply for full job details
Keywords: National Geospatial-Intelligence Agency (NGA), Springfield , Data Scientist Mid-Level (Bethalto,IL), Other , Bethalto, Illinois
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