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Conservation Data Science Jobs in Washington (NOW HIRING)

Data Project Manager

Annapolis, MD · On-site

$51.25 - $69.25/hr

... Conservation Innovation Center (CIC), EPA and Chesapeake Bay Program's (CBP) geospatial data and science team. Through close professional and organizational contacts, the Chesapeake Data Project ...

Earth Science Tutor

Washington, DC · Remote

$18 - $40/hr

... data, and understanding watershed dynamics. Emphasizes observational skills and evidence-based reasoning, connecting earth science to natural disaster preparedness, environmental conservation, and ...

Earth Science Tutor

Leesburg, VA · Remote

$18 - $40/hr

... data, and understanding watershed dynamics. Emphasizes observational skills and evidence-based reasoning, connecting earth science to natural disaster preparedness, environmental conservation, and ...

Earth Science Tutor

Bowie, MD · Remote

$18 - $40/hr

... data, and understanding watershed dynamics. Emphasizes observational skills and evidence-based reasoning, connecting earth science to natural disaster preparedness, environmental conservation, and ...

Earth Science Tutor

Fairfax, VA · Remote

$18 - $40/hr

... data, and understanding watershed dynamics. Emphasizes observational skills and evidence-based reasoning, connecting earth science to natural disaster preparedness, environmental conservation, and ...

Earth Science Tutor

Alexandria, VA · Remote

$18 - $40/hr

... data, and understanding watershed dynamics. Emphasizes observational skills and evidence-based reasoning, connecting earth science to natural disaster preparedness, environmental conservation, and ...

Earth Science Tutor

Laurel, MD · Remote

$18 - $40/hr

... data, and understanding watershed dynamics. Emphasizes observational skills and evidence-based reasoning, connecting earth science to natural disaster preparedness, environmental conservation, and ...

... data, and understanding watershed dynamics. Emphasizes observational skills and evidence-based reasoning, connecting earth science to natural disaster preparedness, environmental conservation, and ...

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Showing results 1-20

Conservation Data Science information

See Washington salary details

$42.5K

$139K

$222.6K

How much do conservation data science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for conservation data science in Washington is $139,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,600.00 and $154,000.00 per year, depending on experience, location, and employer.

What types of projects or datasets do conservation data scientists typically work with?

Conservation Data Scientists often engage with projects analyzing biodiversity trends, wildlife populations, land use changes, or climate impact assessments by working with geospatial, remote sensing, and field survey datasets. This role may involve building predictive models for species distribution, conducting statistical analyses to guide conservation policy, or creating data visualizations for stakeholder reports. You’ll commonly collaborate with ecologists, GIS specialists, field researchers, and policy teams to ensure data-driven decision-making. Working in this field provides exposure to practical conservation challenges and offers opportunities to contribute directly to environmental preservation initiatives.

What are the key skills and qualifications needed to thrive in conservation data science, and why are they important?

To thrive in Conservation Data Science, a strong foundation in data analysis, statistics, ecology or environmental science, and a relevant academic background such as a bachelor's or master's degree is essential. Familiarity with tools such as R, Python, GIS software, and experience working with large ecological datasets or conservation platforms is often required. Excellent problem-solving, attention to detail, and communication skills enable collaboration with multidisciplinary teams and effective translation of data insights to non-technical stakeholders. These capabilities are crucial for transforming complex environmental data into actionable conservation strategies and measurable impact.

What is conservation data science?

A Conservation Data Science job involves using data analysis, machine learning, and geographic information systems (GIS) to support environmental and wildlife conservation efforts. Professionals in this field collect, clean, and analyze ecological data to identify trends, model species distributions, and inform conservation policies. They often collaborate with researchers, government agencies, and nonprofits to optimize resource management and biodiversity protection. This role requires proficiency in programming, statistics, and domain-specific knowledge of conservation science.

What are the most commonly searched types of Conservation Data Science jobs in Washington? The most popular types of Conservation Data Science jobs in Washington are:
What are popular job titles related to Conservation Data Science jobs in Washington? For Conservation Data Science jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Conservation Data Science jobs in Washington look for? The top searched job categories for Conservation Data Science jobs in Washington are:
What cities in Washington are hiring for Conservation Data Science jobs? Cities in Washington with the most Conservation Data Science job openings:
Infographic showing various Conservation Data Science job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $139,013 per year, or $66.8 per hour.

Geospatial Services Lead

Agelix Consulting

Washington, DC • On-site

Full-time

Re-posted 4 days ago


Job description

Job Title: Geospatial Services Lead
Location: Washington, D.C. 20250
Employment Type: Full-Time
Experience Level: Senior

About the Role
We are seeking a dynamic and experienced Geospatial Services Lead to lead the design, implementation, and management of advanced geospatial data solutions. This senior-level position will play a critical role in coordinating with the Natural Resources Conservation Service (NRCS) Geospatial (GEO) Branch to ensure all geospatial initiatives align with agency-wide standards, practices, and strategic priorities. The ideal candidate will combine technical expertise in geospatial technologies with strong leadership and collaboration skills to drive innovation and operational efficiency.

Key Responsibilities

  • Strategic Leadership: Oversee the development, deployment, and maintenance of enterprise-level geospatial systems, tools, and data solutions to support agency missions.
  • Compliance and Alignment: Serve as a subject matter expert to ensure geospatial workflows, data formats, and tools adhere to NRCS GEO Branch standards and federal geospatial protocols (e.g., FGDC, OGC, ISO).
  • Cross-Functional Collaboration: Partner with internal teams, external stakeholders, and NRCS GEO Branch personnel to identify needs, resolve technical challenges, and optimize geospatial capabilities.
  • Project Management: Lead geospatial initiatives from concept to delivery, including budgeting, scheduling, and risk management, while maintaining compliance with federal IT and data governance policies.
  • Team Mentorship: Guide and mentor junior geospatial professionals, fostering a culture of innovation and continuous learning.
  • Technical Innovation: Stay abreast of emerging geospatial technologies (e.g., AI/ML in spatial analytics, cloud GIS, remote sensing) to recommend and implement cutting-edge solutions.

Qualifications

  • Education: Bachelor’s degree in Geography, Geospatial Science, Environmental Science, Computer Science, or related field; Master’s degree preferred.
  • Experience: Minimum of 8+ years of progressively responsible experience in geospatial data management, GIS development, and geospatial service delivery, with 3+ years in a lead/supervisory role.
  • Technical Expertise:
    • Proficiency in GIS software (ArcGIS Pro, QGIS, etc.) and geospatial programming (Python, SQL, R).
    • Experience with geospatial data formats (raster/vector, Shapefiles, GeoJSON, etc.) and metadata standards.
    • Familiarity with federally mandated geospatial frameworks and standards (e.g., FGDC Metadata, OGC web services).
  • Certifications: Relevant certifications (e.g., Esri Technical Certification, GISP, PMP) are a plus.
  • Leadership: Demonstrated ability to lead cross-functional teams, manage complex projects, and communicate effectively with stakeholders at all levels.
  • Regulatory Knowledge: Working understanding of NRCS geospatial protocols and agricultural conservation data needs is highly desirable.

Additional Qualifications (Preferred)

  • Experience with cloud-based GIS platforms (e.g., Amazon Web Services, Microsoft Azure).
  • Background in agricultural or environmental data systems.
  • Strong analytical and problem-solving skills with a focus on scalable, data-driven solutions.