Project Scientist - R&D

Satelytics is seeking a self-driven, highly motivated remote sensing scientist to join our Research and Development Team. The ideal candidate will be familiar with a wide range of remotely sensed imagery, applications, and processing workflows and will be a creative problem solver who is eager to expand their skillset and take on new challenges. The duties of the position will require you to innovate new solutions to problems faced by our customers, both independently and as part of a small team, using traditional and newly developed methodologies.

The position requires experience in a scripting language (typically R or Python), fundamental GIS skills, and in-depth image analysis experience. Successful candidates will have proven experience in remote sensing and GIS through education or work experience and be familiar with applied statistics. The position is located on-site in Perrysburg, Ohio, and reports to the Head of Research and Development.

Benefits
  • Paid Time off
  • 401(k) with matching
  • Dental Insurance
  • Vision Insurance
  • Health Insurance
Job Duties

  • Research and innovation
    • Approach challenges creatively through a combination of experience, literature reviews, and innovation
    • Use commercial and publicly available imagery to develop, test, and implement new algorithms
    • Understand and execute accuracy tests on all algorithms and explain results to management, others within the organization, and/or clients
    • Assist others in the organization with remote sensing needs, education, or troubleshooting
    • Communicate ideas for improvements and new algorithms to direct manager
    • Occasionally serve as a content expert during client meetings
  • Data management and quality assurance
    • Work closely with the Professional Services Team to supply accurately referenced and formatted project deliverables
    • Review feedback from customers, project leaders, and colleagues to adapt workflows and deliverable products as necessary

Requirements

  • Master’s degree in Remote Sensing, Geoscience, Geography, Statistics, Mathematics, or a related field is preferred; exceptional candidates with a Bachelor’s degree and related research experience will be considered
  • 2-4 years of experience working with remotely sensed data through a combination of education, research, and/or work experience

Skills

  • Understand fundamental preprocessing requirements (orthorectification, radiometric calibration, atmospheric correction, etc.) for various applications
  • Experience scripting geospatial workflows for data exploration, statistical tests, model development, and/or accuracy assessment; R or python are preferred, but skills in similar languages are acceptable
  • Proficient in ENVI, QGIS, and/or similar geographical software
  • Proficient in Microsoft Office