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Conservation Data Science Jobs in Washington (NOW HIRING)

Booz Allen Hamilton

Mid Data Scientist

Springfield, VA

$77K - $176K/yr

... interoperability, conservation of resources, and consistency across the client's Enterprise ... Bachelor's degree in Data Science, Statistics, Data Analytics, or Business Analytics Nice If You ...

Booz Allen Hamilton

Data Scientist, Mid

Springfield, VA · On-site

$77K - $176K/yr

... interoperability, conservation of resources, and consistency across the client's Enterprise ... Bachelor's degree in Data Science, Statistics, Data Analytics, or Business Analytics Nice If You ...

Varsity Tutors

Earth Science Tutor

Washington, DC · Remote

$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

$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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All JobsConservation Data Science JobsConservation Data Science Jobs in Washington

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 Jun 17, 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 the Conservation Data Science position, 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.

Is data science oversaturated now?

Data science roles, including conservation data science, remain in demand due to the growing importance of data-driven decision making. While competition has increased, acquiring skills in programming, statistics, and domain knowledge can improve job prospects, and opportunities exist across various sectors including environmental conservation, technology, and healthcare.

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning, and work in high-paying industries or senior roles. Achieving this level often requires a strong educational background, specialized certifications, and experience with tools like Python or R. Compensation varies by location, company size, and individual expertise.

What is the highest paying conservation job?

The highest paying conservation jobs are often senior roles such as Conservation Directors or Chief Conservation Officers, who oversee large programs and strategic initiatives. These positions typically require extensive experience, advanced degrees, and skills in project management, policy, and data analysis, with salaries often exceeding six figures depending on the organization and location.

What is a Conservation Data Science job?

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 is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Conservation data scientists often use this principle to focus on the most impactful variables or data subsets to optimize analysis and resource allocation.
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:
Conservation Data Science jobs near you
Infographic showing various Conservation Data Science job openings in Washington as of June 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $139,013 per year, or $66.8 per hour.
Senior Conservation Data Analyst/Engineer - 26078

Senior Conservation Data Analyst/Engineer - 26078

World Wildlife Fund

Washington, DC • On-site

$90K - $113K/yr

Other

Posted 19 days ago

Job description

Overview
World Wildlife Fund (WWF), one of the world's leading conservation organizations, seeks a Senior Conservation Data Analyst/Engineer to join its Global Science team.
Help WWF revolutionize the way we use data and technology to identify conservation opportunities and measure and monitor the impacts of our conservation efforts. The Senior Conservation Data Analyst/Engineer will work with the Global Science team and the WWF network to analyze and maintain environmental and socio-economic data including, but not restricted to, WWF acquired data, government supplied data, commercially acquired data sets, and remotely sensed and in-situ spatial data. The Senior Conservation Data Analyst/Engineer will have broad experience with statistics, data visualization, data management, cloud-based data analysis infrastructures, and current data delivery mechanisms. Understanding of conservation issues on global and local scales is an asset, as is experience working with multiple organizations to harmonize data and data management approaches. The key roles of the data analyst/engineer are to analyze and visualize existing data, work with WWF teams (including Global Science) in developing new analysis approaches, implement methodologies, and develop and maintain data storage and management systems, analysis pipelines, and visualization platforms. This position will be responsible for contributing to the advancement of automated and semi-automated approaches for efficient and responsive geospatial data processing and analyses for key conservation metrics.
Salary Range: $90,900 - $113,600
This position is hybrid in DC, with 2 days in the office (not eligible for relocation; applicants must relocate themselves).
Please note: Applicants must be legally authorized to work in the U.S. This position is not eligible for employment visa sponsorship.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
Responsibilities
  • Support the development and application of data analysis and visualization methodologies and pipelines with the WWF scientists and program managers.
  • Manage product and projects to deliver key outputs including the Conservation Navigator
  • Perform analyses for select projects; apply advanced statistical and spatial analysis and programming as needed.
  • Manage GIS software licensing and distribute software licenses to all users in the Network.
  • Coordinate with software vendors to obtain and renew licenses and to handle support requests.
  • Maintain data repositories, including GIS servers (e.g., Google Earth Engine, ArcGIS Enterprise, and ArcGIS Online) by keeping software up to date. Maintain knowledge of other data platforms, including cloud-based platforms (e.g., AWS, Google Cloud, Azure) and cloud-based relational databases for use as needed.
  • Develops and maintains data storage management systems, analysis pipelines, and visualization platforms to support conservation data needs.
  • Collaborates with WWF teams to develop and implement new analytical approaches and methodologies.
  • Analyzes and visualizes environmental and socioeconomic data to support decision-making and conservation outcomes.
  • Evaluates and applies new developments in technology, data analysis and open-source tools for analysis and data visualization (e.g. D3.js, QGIS, AI).
  • Other duties as assigned.

Key Competencies
  • Analytical Thinking: Collects, interprets, and evaluates complex information to identify trends, uncover insights, and support informed decision-making. Applies critical thinking and sound judgment to assess risks, challenge assumptions, and develop data-driven recommendations.
  • Data Communication and Visualization: Translates complex data and technical findings into clear, concise, and actionable insights for diverse audiences. Develops effective visualizations, reports, and presentations that support strategic decision-making and stakeholder understanding.
  • Project Ownership: Takes full accountability for planning, executing, and delivering projects from initiation through completion. Proactively manages priorities, timelines, stakeholders, and risks to ensure successful outcomes and continuous improvement.
  • Problem Solving in Complexity: Navigates ambiguous and multifaceted challenges by identifying root causes, evaluating competing priorities, and developing practical solutions. Demonstrates adaptability and strategic thinking in fast-paced or evolving environments.

Qualifications
  • 6+ years of professional experience in data analysis or data engineering -OR- 3+ years with an advanced degree in GIS, geography, computer science, data science, environmental science (with a quantitative focus), or a related field.)
  • In day-to-day work, ability to routinely automate geospatial analyses, data processing, and reporting using tools such as ArcGIS, QGIS, Python, or others, rather than relying on manual workflows.
    • Working knowledge of cloud-based platforms for data storage, processing, and analysis.
    • Proficiency in data Python and/or R for data analysis and automation. Working knowledge of JavaScript for web mapping applications.
    • Comfort using AI-assisted workflows, including large language models (LLMs) or AI coding tools to help write code, automate repetitive geospatial tasks, or accelerate data processing pipelines.
    • Exposure to and familiarity with environmental or spatial modeling concepts and familiarity with preparing model inputs and interpreting outputs.
    • Solid project management skills with the ability to produce high quality work under time constraints.
    • Conservation Experience and AI agility strongly preferred
    • Experience with AI tools in an ArcGIS or Python environment is a plus (The curiosity and a willingness to grow with these tools is important and desired)
  • Demonstrated experience applying analytical or engineering skills in a geospatial context is strongly preferred.
  • Proven ability to work collaboratively in a matrixed team environment.
  • Excellent interpersonal skills requiring knowing when to use courtesy, tact and/or diplomacy to effectively communicate with all constituents.
  • Ability to demonstrate integrity in deliverables, behavior, and demeanor.
  • Ability to show respect for the organization, the work, the team, and self.
  • Committed to building and strengthening a culture of inclusion within and across teams.
  • Identifies and aligns with WWF's core values:
    • COURAGE - We demonstrate courage through our actions, we work for change where it's needed, and we inspire people and institutions to tackle the greatest threats to nature and the future of the planet, which is our home.
    • INTEGRITY - We live the principles we call on others to meet. We act with integrity, accountability, and transparency, and we rely on facts and science to guide us and to ensure that we learn and evolve.
    • RESPECT - We honor the voices and knowledge of people and communities that we serve, and we work to secure their rights to a sustainable future.
    • COLLABORATION - We deliver impact at the scale of the challenges we face through the power of collective action and innovation.

To Apply:
  • Submit cover letter and resume through our Careers Page, Requisition #26078
  • Due to the high volume of applications, we are not able to respond to inquiries via phone

World Wildlife Fund (WWF) promotes equal employment opportunities for all qualified individuals regardless of age, race, color, sex, religion, national origin, disability, or veteran status, or any other characteristic protected under applicable law.

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