Data Architect​/Data Science

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 is involved in developing, testing, fielding, and integrating Computer Vision models for geospatial data.

Requirements:

• 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)
• 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 (we can pipeline your poly if you don’t already have it, but you must be willing to take the exam)
• 13 years of relevant experience and a Master’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. )

• Build, test, and maintain databases and large-scale, complex data processing systems
• Build database tables and schemas
• Establish data health alerts
• Setup data pipelines to support Extract, Transform, and Load (ETL) of GEOINT or sensor data
• Develop workflows to enable API-based movement of data between platforms
• Validate new data adheres to specified data schemas, formats, and governance requirements
• Populate, manage, and maintain metadata standards for datasets
• Manipulate and analyze data using Python
• Build data visualizations, dashboards, or lightweight Web applications to communicate key insights

• NGA domain experience is highly preferred – especially with NGA CORE
• Experience with GEOINT datasets
• Experience with ATO processes
• Sufficient knowledge to implement processes, standards, and tools using SAFe
• Experience developing dynamic visualizations to monitor availability, currency and volumetrics of operational data pipelines

• Occasional travel may be required outsideof 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
• Work is located at CTR facility
• Work schedule is flexible, but a good amount of team collaboration is required which generally occurs M-F from  EST and team members should do their best to be reachable during those core hours