Geospatial Analyst

The successful candidate will serve as a geospatial analyst in OCM's Science and Geospatial Services Division, assisting with the review, production, and management of remote sensing and geospatial data. The incumbent will work primarily on land cover data and analyses, but will also work with imagery, Lidar data, and Digital Elevation Models.\n \n \nCore responsibilities of the Geospatial Analyst will include, but are not limited to: \n \n \n \n

1. Quality assurance of land cover datasets\n
2. Assisting with direct land cover data classification and development from lidar, aerial, and satellite imagery\n
3. Compiling and processing ancillary data in support of land cover quality assurance or data development \n
4. Running automated tasks for creating land cover-related datasets\n
5. Assisting with publishing and managing map services\n
6. Writing metadata records\n
7. Assisting with the development of derivative products (ex., Storymaps, web apps)\n
8. Assisting with the update and quality assurance of the new land cover change visualization and analysis\n

1. Master's degree in geography, remote sensing, GIS, or related field OR a Bachelor's degree with six plus years of related experience\n
2. Some experience or general knowledge of land cover mapping methods, elevation data, and orthoimagery\n
3. Some experience or general knowledge with both raster and vector-based datasets on desktop and web-based platforms\n
4. Some experience or general knowledge of geospatial analysis tools such as (or similar to) ArcGIS, Erdas Imagine, QGIS, Global Mapper, eCognition, FeatureAnalyst, and ArcGIS online\n
5. Some experience or general knowledge in the development and analysis of land cover and/or change data\n

1. Knowledge of Python scripting language is required for automation of GIS tasks\n
2. Processing and managing data and map services in the cloud\n
3. Knowledge or experience related to land cover classification using artificial intelligence\n
4. Knowledge of coastal management and coastal processes\n
5. Knowledge of coastal hazards and inundation mapping \n

\n \n \nAbout Lynker\n \n Lynker is a growing, employee owned, small 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.\n \n 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.\n \n 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:\n \n \n

• Personalized career growth plans for every employee\n

\n \nLynker is an E-Verify employer.\n \n \nLynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.\n \n PI282922404", "hiringOrganization": {"@type": "Organization", "name": "Lynker Technologies"}, "jobLocation": {"address": {"addressCountry": "United States", "streetAddress": "Not specified", "@type": "PostalAddress", "postalCode": "Not specified", "addressLocality": "Charleston", "addressRegion": "South Carolina - SC"}, "@type": "Place"}, "industry": "", "identifier": {"@type": "PropertyValue", "name": "Lynker Technologies", "value": "282922404"}, "baseSalary": {"@type": "MonetaryAmount", "currency": "USD", "value": {"minValue": "50000", "@type": "QuantitativeValue", "maxValue": "74999", "value": "50000", "unitText"