Imagery Scientist - Synthetic Aperture Radar (SAR)

Bridge Defense

• $100K — $155K *
Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience with Synthetic Aperture Radar imagery analysis and multi-INT analysis.
  • Skilled in data exploitation using programming and scripting, particularly in geospatial contexts.
  • Strong oral and written communication abilities, capable of presenting information clearly under pressure.

Responsibilities

  • Provide geospatial and imagery expertise to enhance data curation and support Machine Learning.
  • Curate imagery data emphasizing SAR to facilitate model evaluation and accreditation.
  • Recommend data curation strategies and identify gaps for Machine Learning needs.
  • Assist in assessing new sensor capabilities against existing platforms.
  • Evaluate metadata and data characteristics for integration into the operations pipeline.
  • Determine data acquisition methods and potential security concerns.
  • Standardize and pre-process data for usability in models and testing.

Benefits

  • Opportunity to work with cutting-edge technology in the defense sector.
  • Collaborative environment with a team of experts in intelligence and data analysis.
  • Potential for travel based on project needs.
  • Emphasis on continuous improvement within the role.
Full Job Description
Summary: Bridge Defense is seeking several Imagery Scientist - Synthetic Aperture Radar (SAR) for full-time salaried positions supporting an Intelligence Community partner. These positions are currently planned for first shift.

Essential Duties and Responsibilities:

  • The SAR Geospatial Analyst shall provide geospatial and imagery expertise and quantitative analysis to make recommendations that improve data curation and development in support of Machine Learning algorithm testing and evaluation.
  • Leverage multi-INT data, with an emphasis on SAR, to curate imagery from the emergent sensors. Curated imagery will be prioritized for creation of labeled data to support the model evaluation and accreditation. Curated imagery should have objects of interest or needed characteristics (e.g., geographic coverage, scene attributes) per Government prioritization.
  • Based on the characteristics and limitations of the emergent sensor, recommend curation strategies and identify data gaps to develop a diverse, representative dataset for Machine Learning model evaluation.
  • Assist the SAR lead in conducting assessment of potential differences between new sensor characteristics and capabilities compared to currently utilized platforms.
  • Assess potential differences in metadata, data format, and data structure characteristics in regard to changes to databases, schemas, APIs, and other ETL related processes for the ingestion and movement of data when integrating into the existing data operations pipeline.
  • Determine how to acquire new data, potential latency associated with acquisition, data formats, and security domains.
  • Determine how to pre-process and standardize the data to match existing data standards or to be transformed into a usable state for labeling and model testing purposes. This may involve converting between file format types or tiling full-size images into specified sizes or geospatial bounds.


Required Qualifications, Education, and Experience:

  • Experience with Synthetic Aperture Radar imagery analytical products and conducting multi-INT analysis.
  • Utilize structured, unstructured, and semi-structured data and visualization tools to exploit data through use of programming and scripting, including advanced geospatial skills and an excellent understanding of how to apply evolving technology and methodologies to related issues.
  • Excellent oral, writing, and coordination skills to communicate factual information clearly and concisely, both orally and in writing, often under pressure and tight deadlines that meets or exceeds established analytical standards.


Desired Qualifications, Education, and Experience:

  • Exhibit experience applying CV and machine learning (ML) techniques to SAR imagery and data to address intelligence problems.


The Successful Candidate will Possess:

  • Prospective candidates should have strong risk management skills, excellent communication, teamwork, and conflict management skills.
  • The candidate must be analytical and effectively able to prioritize needs, requirements, and other issues.
  • Ability to communicate and interact effectively at all levels of staff and management.
  • Ability to exercise independent judgment, develop relationships, and obtain consensus among interested parties.
  • Critical thinker with strong technical skills, diagnostic skills and problem-solving ability.
  • Solid written and verbal communication skills to negotiate direction, drive projects and projects to successful conclusion and deliver knowledge to team members verbally and via clear designs, runbooks and technical engineering and exchange sessions.
  • Self-starter, flexible, adaptable, collaborative and motivated to champion continuous improvement.
  • Ability to develop peer networks across an enterprise to maintain technology awareness and to support resolution of problems.
  • Ability to operate across traditional technical boundaries, comfortable working in the compute space as well as the storage space in an operational capacity.
  • Technically curious and driven to learn new skills.


Clearance: TS/SCI Clearance (with CI Poly, or willingness to sit for CI Poly)

Location: Alexandria, VA; On-Site

Salary Range: 100K - 155K

General Factors:

  • Depending on project requirements, may be required to work within a compressed schedule; overtime should be expected when schedules demand it.
  • Willing to travel, if needed.
  • No Relocation.
  • Must be able to sit/stand at a desk for long-periods and must be able to lift 20 pounds occasionally.
  • Must be able to multi-task and rapidly change priorities with limited notice.


Online applications, please.

When we review candidates' information, we are looking for the best matches for the position based on the qualifications listed in the job posting. If your skills and experience appear to match an open position, a recruitment services professional or a hiring manager may contact you.

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