×
Register Here to Apply for Jobs or Post Jobs. X
More jobs:

Senior Geospatial Scientist

Job in Seattle, King County, Washington, 98127, USA
Listing for: Innovate!, Inc.
Full Time position
Listed on 2026-07-31
Job specializations:
  • IT/Tech
    Data Scientist
Salary/Wage Range or Industry Benchmark: 120000 - 138000 USD Yearly USD 120000.00 138000.00 YEAR
Job Description & How to Apply Below
  • Official Communication: All job offers and communication regarding them will arrive from email addresses ending in .
  • Secure Information: We prioritize your data safety. We never request bank information via email or text. Instead, we follow a secure process through our dedicated payroll system.

Openings at Innovate!, Inc

Hiring Transparency:

  • Official Communication: All job offers and communication regarding them will arrive from email addresses ending in .
  • Secure Information: We prioritize your data safety. We never request bank information via email or text. Instead, we follow a secure process through our dedicated payroll system.

Remember: If your communication differs from this process, it's not from Innovate.

Senior Geospatial Scientist

Location:

Seattle, WA

Position:
Senior Geospatial Scientist

Reports To:

FLSA:
Exempt

Location:

Seattle, WA Posted: 7/15/26

Embrace the opportunity to join Innovate! Inc. and become a valued member of our team. We are seeking driven individuals who are passionate about leveraging technology to tackle environmental challenges and drive positive change. If you thrive in a collaborative, fast-paced environment and are eager to contribute your skills and expertise to innovative projects, we invite you to explore this exciting opportunity further.

Read on to learn more about how you can be part of our dynamic team.

Innovate! Inc. is seeking a highly experienced Senior Geospatial Scientist to provide advanced GIS, remote sensing, and geospatial data analysis support to convert habitat conditions and ecological stressors into reproducible spatial indices and management-ready geospatial products for NOAA Fisheries and the Northwest Salmon Life Cycle Modeling program.

Contingent upon contract being awarded

Location: Work will be conducted on-site at the Northwest Fisheries Science Center, Seattle, Washington (WA) or at one of its associated field stations in WA or Oregon

Salary Range: $120,000 - $138,000

Position status: Full Time; with benefits

Benefits include:

  • Medical
  • Dental
  • Vision
  • 401K with match
  • Life Insurance
  • PTO
KEY RESPONSIBILITIES
  • Integrate large spatial, remotely sensed, biological, and environmental datasets across freshwater, estuarine, and nearshore marine habitats.
  • Perform advanced GIS and geospatial analyses to characterize salmon habitats, ecological conditions, and environmental stressors.
  • Compute and validate spatial indices representing factors such as prey availability, predator abundance, habitat condition, and other ecological metrics used in assessment tools.
  • Contribute spatial datasets, indices, and analytical expertise to fish life-cycle models and simulations used to evaluate management scenarios.
  • Lead geospatial data processing, QA/QC, visualization, map production, and development of interactive dashboards or other accessible spatial products.
  • Design reproducible GIS and scientific data engineering workflows and document methods, metadata, scripts, assumptions, and dependencies in reports and code repositories.
  • Store geospatial datasets and analysis products in organized, accessible formats suitable for reuse by NOAA scientists and interdisciplinary collaborators.
  • Collect fish and environmental field data when needed, including work around water, travel in vehicles or boats, and occasional support of vessel surveys.
  • Write technical reports and status updates, contribute to peer-reviewed manuscripts, and present geospatial methods and findings at scientific meetings and conferences.
  • Collaborate with fisheries scientists, quantitative modelers, data managers, field staff, and natural resource managers.
REQUIRED SKILLS & TECHNICAL EXPERTISE
  • Advanced proficiency with ArcGIS Pro, QGIS, or comparable GIS platforms for collating and analyzing large spatial datasets.
  • Expertise in spatial analysis, remote sensing, raster and vector processing, geospatial statistics, data visualization, and cartographic communication.
  • Experience with R, Python, Git Hub, or comparable tools for reproducible geospatial analysis, workflow automation, and version control.
  • Ability to design scalable data-processing workflows and organize spatial datasets for integration into ecological or life-cycle models.
  • Knowledge of open-science principles, metadata, reproducible research, code repositories, and transparent documentation.
  • Familiarity with Pacific salmon ecology and the freshwater, estuarine, nearshore marine, and broader West Coast habitats managed by NOAA Fisheries.
  • Strong quantitative skills and the ability to interpret ecological data and translate biological questions into geospatial analyses.
  • Excellent technical writing, peer-reviewed publication, presentation, and stakeholder communication skills.
  • Ability to manage multiple priorities, deliver high-quality products efficiently, and work independently and within interdisciplinary teams
EDUCATION & EXPERIENCE
  • Bachelor's degree or higher from an accredited institution in fisheries, ecology, natural sciences, mathematics, statistics, oceanography, hydrology, geography, GIS,…
Position Requirements
10+ Years work experience
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary