Data Scientist
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Role details
Tech stack
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Job description
We are looking for an experienced Data Scientist to join our team.
You will get to join a highly functioning team to develop cutting
edge solutions for complex problems. Your job will be to support the
implementation and maintenance of the data architecture for all
Program Data associated with an R&D program.
- The R&D program is focused on using Artificial Intelligence/Machine
Learning (AI/ML) algorithms and models, particularly Computer
Vision, applied to Intelligence, Surveillance, and Reconnaissance
(ISR) sensors and platforms for object detection, object tracking,
object classification, and pattern detection. The program involves
developing, testing, fielding, and integrating Computer Vision
models for geospatial data.
-
- Build, test, and maintain databases and large-scale, complex data
processing systems
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Build database tables and schemas
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Establish data health alerts
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Setup data pipelines to support Extract, Transform, and Load (ETL)
of GEOINT or sensor data
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Maintain data backend workflows across various systems
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Develop workflows to enable API-based movement of data between
platforms
- Validate new data adheres to specified data schemas, formats, and
governance requirements
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Populate, manage, and maintain metadata standards for datasets
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Manipulate and analyze data using Python
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Build data visualizations, dashboards, or lightweight Web
applications to communicate key insights
-
Other Information:
-
Occasional travel may be required outside of the DC area to support
events or exercises
- Local travel may be required to attend meetings at government
facilities
- Surge support may be needed at times to support crisis situations
Requirements
Eligibility/Clearance: Candidate must possess an active TS/SCI clearance
and be willing to obtain a CI Polygraph, Required:
-
Strong background in data architecture and data science
-
Prior experience working with cloud architectures, maintaining SQL
and no-SQL databases, programming APIs, and data version control
management (minimum 4 years’ experience)
- Scripting ability with Python, JavaScript, or Java (Python most
preferred)
- Ability to develop, maintain, and monitor operational data pipelines
across multiple data formats and interfaces
- Strong communication skills that allow you to engage with a variety
of technical and non-technical audiences
- TS/SCI with CI Poly, but we can consider TS candidates with
eligibility for SCI and CI Polygraph (we can sponsor your SCI and CI
poly if you don’t already have them)
-
15 years of relevant experience and a Bachelor’s degree
-
(substitutions are allowed for different types of degrees, and
many things can be applied towards experience - e.g.,
internships, certifications, professional publications, etc. ), NGA domain experience is highly preferred - especially with NGA CORE
-
Experience with GEOINT datasets
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Experience with ATO processes
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Sufficient knowledge to implement processes, standards, and tools
using SAFe
- Experience developing dynamic visualizations to monitor
availability, currency and volumetrics of operational data pipelines, Bachelors Degree in Computer Science or a related field
Benefits & conditions
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