Geospatial Analyst

Overview

Seeking a Geospatial Analyst to support NOAA's Office for Coastal Management by performing processing, quality assurance, documentation, and management of remote sensing and geospatial data and services. The ideal Geospatial Analyst will be located in the Charleston, SC area and will be able to work in a hybrid capacity.

The successful candidate will serve as a geospatial analyst in OCM's Science and Geospatial Services Division supporting NOAA's Coastal Change Analysis Program (C-CAP) activities. The position will be focused primarily on land cover data production, quality assurance reviews, and analyses but may also include work with imagery, Lidar data, and Digital Elevation Models.

• Quality assurance of land cover datasets at multiple resolutions
• Assisting with direct land cover data classification and development using multiple sources of input data
• Compiling, processing, and analyzing a variety of data types, including imagery, elevation, and/or other geographic based ancillary data, in both raster and vector formats
• Possible produce derived products, such as maps, statistics, and other information.
• Works as part of a team and independently to achieve day-to-day objectives and operational results for project deliverables.
• 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 (e.g., Storymaps, web apps, etc.)

The Geospatial Analyst should have the following:

• Master's degree with two plus years of related experience in geography, remote sensing, GIS, or related field OR a Bachelor's degree with six plus years of related experience
• Some experience or general knowledge of land cover mapping methods, elevation data, orth imagery analysis, and change detection
• Some experience or general knowledge with both raster and vector-based datasets on desktop and web-based platforms
• Some experience or general knowledge of geospatial analysis tools such as (or similar to) ArcGIS Pro, Erdas Imagine, QGIS, Global Mapper, Trimble eCognition, Feature Analyst, etc.
• Strong communication and organizational skills and excellent interpersonal skills
• Self-starter with ability to work in a small team environment without direct day-to-day supervision
• Ability to follow standard operating procedures and guidance documentation

• Knowledge or experience related to land cover classification using machine learning or more advanced deep learning artificial intelligence
• Knowledge or experience with wetland mapping
• Knowledge of Python scripting language required for automation of GIS tasks
• Processing and managing data and map services in the cloud
• Knowledge of coastal management and coastal processes
• Knowledge of coastal hazards and inundation mapping

About Lynker

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.

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

Lynker is an E-Verify employer.

Lynker 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
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