EO Imagery Analyst / Scientist (mid-level)

BAE Systems
Sterling, VA, United States
13 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$97,008.0 - $164,914.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Computer Vision Computer Programming Databases Extract Transform Load (ETL) Data Structures Data Visualization Machine Learning DataOps Semi-structured Data

Job description

The EO Imagery Geospatial Analyst / Scientist will provide geospatial and imagery expertise and quantitative analysis to make recommendations that improve data curation and development in support of Machine Learning (ML) algorithm testing and evaluation.

Day-to-day tasks may include but not be limited to:

  • Assist the EO Lead in conducting assessments 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 regards to changes to databases, schemas, API s 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.

Requirements

  • 5 years experience with Electro-Optical (EO) Imagery analytical products and conducting multi-INT analysis products. An approved degree, may be substituted for some experience.

  • At least 3 of the 5 full-time years of experience utilizing structured, unstructured, and semi-structured data and visualization tools to exploit data through use of programming and scripting, including advanced geospatial skills with an excellent understanding of how to apply evolving technology and methodologies to related issues.

  • Demonstrated experience with EO imagery quality metrics and sensor metadata describing impacts of geometry on phenomenology.

  • Strong interpersonal skills with adaptability working within a team environment.

  • An understanding of the principles of remote sensing and imagery processing and advanced exploitation methods.

  • General experience in Machine Learning (ML) techniques to EO imagery and data to address intelligence problems is desired.

  • A current TS/SCI Security clearance with ability to obtain CI Poly if necessary.

Preferred Education, Experience, & Skills

  • Experience applying Computer Vision (CV) and machine learning (ML) techniques to EO imagery to address intelligence problems.

Benefits & conditions

Full-Time Salary Range: $97008 - $164914

Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience.

Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20 hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics.

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