Hiring.Camp

Geospatial Analyst

Lynker

·

Oct 16, 2025

Salary
$55k – $72k
Location
Charleston, SC, US
Workplace
Remote
Type
Full-time
Department
IT
Education
Bachelor
Closing date
Today
Source
iCIMS

Description

Overview

Seeking a Geospatial Analyst to support the National Oceanic and Atmospheric Administration’s (NOAA) Office for Coastal Management (OCM) 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. This role is contingent upon contract award.

Responsibilities

Core responsibilities of the Geospatial Analyst will include, but are not limited to: 

 

  • 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 (ex. Storymaps, web apps, etc.)

Qualifications

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, orthoimagery 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, FeatureAnalyst, 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

 

The ideal Geospatial Analyst will have the following:  

 

  • 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:

  • Comprehensive healthcare for the employee at no monthly cost
  • Healthcare benefit covers medical, prescription drug, dental, and vision
  • Personal Time Off (PTO) Policy plus paid holidays
  • Highly competitive compensation plan regularly calibrated against industry and location benchmarks
  • 401(k) retirement plan with company-matching
  • Employee Stock Ownership Plan (ESOP) – we're all company owners!
  • Flexible spending accounts
  • Employee assistance program (EAP)
  • Short- and long-term disability insurance
  • Life and accident insurance
  • Tuition assistance/Training/Workforce improvement reimbursement per year
  • Spot bonuses for exceptional performance
  • Annual Employee Recognition Awards with bonuses
  • Employee Referral Program
  • Free centralized, self-directed Learning Management System to learn at your own pace
  • 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.

 

Fraud Alert: Recruitment Scam Warning: Lynker has been made aware of fraudulent individuals posing as Lynker recruiters and offering fake job opportunities. All legitimate Lynker job postings are listed on our official careers page. Communication from Lynker recruiters will come from an official @lynker.com email address.

Skills

PythonMachine LearningDeep Learning

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