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Conservation Data Science Jobs in Washington, DC

CHESAPEAKE CONSERVANCY INC

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 ...

Varsity Tutors

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 ...

Varsity Tutors

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 ...

Varsity Tutors

Earth Science Tutor

Rockville, 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 ...

Varsity Tutors

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 ...

Varsity Tutors

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 ...

Varsity Tutors

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 ...

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Showing results 1-20

All JobsConservation Data Science JobsConservation Data Science Jobs in Washington, DC

Conservation Data Science information

See Washington, DC salary details

$42.5K

$139K

$222.6K

How much do conservation data science jobs pay per year?

As of Aug 26, 2026, the average yearly pay for conservation data science in Washington, DC 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 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 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 are the most commonly searched types of Conservation Data Science jobs in Washington, DC?

The most popular types of Conservation Data Science jobs in Washington, DC are:

What are popular job titles related to Conservation Data Science jobs in Washington, DC?

For Conservation Data Science jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Conservation Data Science jobs in Washington, DC look for?

The top searched job categories for Conservation Data Science jobs in Washington, DC are:

Conservation Data Science jobs near you
Infographic showing various Conservation Data Science job openings in Washington, DC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $139,013 per year, or $66.8 per hour.

Senior Research Statistician

Pivot Path Solutions

Washington, DC • On-site

$98K - $120K/yr

Full-time

Posted 4 days ago

Job description

About Pivot Path Solutions

Pivot Path Solutions, LLC is an enterprise IT and business solutions firm based in the National Capital Region. We support Department of Defense, federal civilian, and Intelligence Community customers with mission-focused technology, financial management, data, cybersecurity, and program operations expertise. Pivot Path is an SBA-certified 8(a), Women-Owned Small Business and holds an active Top Secret Facility Clearance.

Position Summary

Pivot Path Solutions, LLC is seeking a Senior Research Statistician to support advanced statistical and data science research for the U.S. Department of Agriculture’s National Agricultural Statistics Service (USDA NASS). This position will support the modernization of official agricultural statistics through innovative statistical methods, artificial intelligence, machine learning, and the integration of survey and non-survey data.

The Senior Research Statistician will lead day-to-day research activities and develop production-ready statistical methodologies, software, documentation, and research products for operational use by NASS.

Key Responsibilities
  • Develop statistical methodologies supporting NASS agricultural survey and census programs.
  • Develop Bayesian and small-area estimation models.
  • Analyze and model agricultural survey and non-survey data.
  • Integrate survey, administrative, remotely sensed, economic, weather, soil, and geospatial data.
  • Develop machine learning methods for anomaly detection, classification, and adaptive survey design.
  • Apply AI-assisted geospatial harmonization techniques.
  • Use large language models to improve metadata extraction, documentation, and research workflow efficiency.
  • Perform record linkage and entity-resolution research.
  • Develop capture-recapture and calibration algorithms to adjust record-level weights and assess uncertainty against established population benchmarks.
  • Create reproducible, version-controlled research pipelines.
  • Evaluate state-level estimates for conservation data products.
  • Apply statistical disclosure-limitation methods to protect the privacy and confidentiality of farmers’ data before publication.
  • Participate in monthly meetings with the Government and quarterly technical reviews.
  • Prepare quarterly progress reports, annual research reports, and publication-quality technical papers.
  • Develop production-ready software, technical documentation, and knowledge-transfer materials.
Minimum Qualifications
  • Ph.D. in Statistics or a closely related quantitative field.
  • At least 10 years of professional research experience conducting recognized statistical or data science research with direct application to agriculture.
  • Demonstrated expertise in:
    • Bayesian statistics
    • Small-area estimation
    • Survey methodology
    • Machine learning and artificial intelligence
    • Geospatial data integration
    • Record linkage and entity resolution
    • Large language models
    • Adaptive survey design
    • Reproducible research methods
  • Extensive experience working with agricultural survey and non-survey data.
  • Strong record of publications involving the analysis of agricultural data.
  • Ability to develop research methodologies and software suitable for operational implementation.
  • Strong technical writing, communication, and collaboration skills.
Work Location and Schedule

The primary place of performance is USDA/NASS Headquarters in Washington, DC 20050. Telework is limited and may be performed only when authorized in writing by the Government. 

Equal Employment Opportunity

Pivot Path Solutions, LLC is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, genetic information, protected veteran status, or any other status protected by applicable law.

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