Geospatial Analyst

Duties of the Geospatial Analyst will include the following:

Perform quality assurance reviews of land cover datasets at multiple resolutions to evaluate the data quality, report on errors, and summarize issues. Perform bulk processing, modeling, and editing tasks associated with the direct classification and development of high-resolution land cover data. Compile, process, and analyze imagery, elevation, and/or other geographic based ancillary data, both raster and vector based, in order to produce derived products, maps, statistics, and other information. Assist with development and publishing of metadata records and the management of map/image services. Assist state and local data users with technical assistance requests, on an ad-hoc basis. Interact with state and local data users and/or partners to present on and answer questions related to NOAA’s land cover mapping activities and technical specifications.

As part of our ongoing growth and expansion, we are seeking a dynamic and experienced Geospatial Analyst to join our growing team. The ideal Geospatial Analyst will be located in the Charleston, SC area, and be able to work a hybrid schedule., Demonstrated experience of land cover mapping; including general knowledge of common methods, classification schemes, accuracy assessments, and potentially change detection analysis. Some experience and general remote sensing knowledge, specifically working with elevation data, ortho-imagery, and derived ancillary data sets. Experience working with data in both raster and vector format. Experience working with geospatial analysis tools such as (or similar to) ArcGIS Pro, Erdas Imagine, QGIS, Global Mapper, and/or similar. General familiarity and/or experience with image segmentation (image objects). General familiarity of machine learning, artificial intelligence, or data science applications for remotely sensed data. Experience with Python, or other scripting language, for automation of data processing and data management tasks. Familiarity with wetland identification and/or habitat characterization Knowledge of coastal management and coastal processes Work as part of a team and independently to achieve day-to-day objectives and operational results for project deliverables. Be responsible for major project components or processes, including managing complex, automated tasks; assisting with publishing and managing map services; writing metadata records; and the development of derivative products (ex. Storymaps, web apps, etc.) Regularly employ ingenuity and creativity to develop new technical solutions in order to achieve functional objectives Possess strong communication and organizational skills Ability to follow standard operating procedures and guidance documentation

$50,000.00

Lynker Corporation is a leading provider of innovative solutions in weather and climate science. With a commitment to excellence and a passion for innovation, Lynker leverages cutting-edge technologies and scientific expertise to support the creation and delivery of improved operational weather forecasts., Lynker is a growing, employee owned business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.

We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers’ scientific and technical priorities - creatively and effectively.

Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker’s benefits include the following: Personalized career growth plans for every employee