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Conservation Data Science Jobs (NOW HIRING)

Wri

Data Ethics & Governance Analyst

Washington, DC · Hybrid

The Civic Science Fellows program is building a network of leaders committed to ensuring that all ... Experience with environmental, climate, conservation, or natural-resource data is desirable.

NuAxis LLC

Data Scientist SME

Falls Church, VA · On-site

... conservation science, ecological statistics, and sustainable wildlife management. The ideal ... Analyze uncertainty, data sufficiency, model assumptions, and limitations. * Apply quantitative ...

NuAxis Innovations

Data Scientist SME

Falls Church, VA · On-site

... conservation science, ecological statistics, and sustainable wildlife management. The ideal ... Analyze uncertainty, data sufficiency, model assumptions, and limitations. Apply quantitative ...

STI

Data Entry Support

Nashville, TN · On-site

The mission of the GIS Program is to empower the Bureau of Parks & Conservation to make smart, data ... Science, or a related field and 2 years of relevant work experience is required. Qualifying ...

STI

Data Entry Support

Nashville, TN · On-site

The mission of the GIS Program is to empower the Bureau of Parks & Conservation to make smart, data ... Science, or a related field and 2 years of relevant work experience is required. Qualifying ...

CONSERVATION INTERNATIONAL

Through science, policy, fieldwork, and finance, we spotlight and secure the most important places ... Support regular updates to the project MEL Plan, including documenting changes to indicators, data ...

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How much do conservation data science jobs pay per year?

As of Sep 15, 2026, the average yearly pay for conservation data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 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.

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What cities are hiring for Conservation Data Science jobs?

Cities with the most Conservation Data Science job openings:

What are the most commonly searched types of Conservation Data Science jobs?

The most popular types of Conservation Data Science jobs are:

What states have the most Conservation Data Science jobs?

States with the most job openings for Conservation Data Science jobs include:

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Conservation Data Science jobs near you
Infographic showing various Conservation Data Science job openings in the United States as of September 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.

Temporary Research Scientist

Worcester, MA • On-site

Worcester Polytechnic Institute
Colleges, Universities, and Professional Schools • 501 - 1,000 employees
Learn more about Worcester Polytechnic Instituteexternal

$25/hr

Part-time

Posted 6 days ago

Job description

JOB TITLE
Temporary Research Scientist
LOCATION
Worcester
DEPARTMENT NAME
Data Science & AI - JM
DIVISION NAME
Worcester Polytechnic Institute - WPI
JOB DESCRIPTION SUMMARY
The Data Science Program at Worcester Polytechnic Institute invites applications for a part-time temporary Research Scientist, for a three-month appointment, working 20 hours per week.
The position will focus on artificial intelligence, AI safety, and the application of data-driven methods to combat illegal wildlife trade. The successful candidate will contribute to interdisciplinary research that applies machine learning, large language models (LLMs), and advanced data analytics to address conservation challenges and evaluate AI system safety and robustness.
The Research Scientist will conduct research on illegal wildlife trade using AI and data-driven approaches, develop and assess AI safety techniques including red teaming, adversarial testing, and robustness evaluation of LLMs, and contribute to scientific publications, grant proposals, and technical reports. The successful candidate will collaborate closely with faculty members and graduate students on ongoing research projects.
We are especially interested in applicants with strong research experience in AI, machine learning, and LLM evaluation, as well as an interest in applying these technologies to real-world societal challenges. Experience in AI safety, trustworthiness, responsible AI, cybersecurity, conservation science, or related domains is highly desirable.
JOB DESCRIPTION
Minimum Qualifications
  • Ph.D. in Data Science, Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
  • Strong research experience in machine learning, deep learning, natural language processing, or large language models.
  • Experience designing and conducting empirical research studies involving AI systems.
  • Programming proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
  • Demonstrated ability to analyze complex datasets and develop data-driven solutions.
  • Record of peer-reviewed publications in AI, machine learning, data science, cybersecurity, computational social science, or related fields.
  • Excellent written and oral communication skills.

Preferred Qualifications
  • Experience with AI safety research, including red teaming, adversarial machine learning, model evaluation, robustness testing, or alignment methods.
  • Experience working with large language models and generative AI systems.
  • Experience applying AI or data science methods to conservation, wildlife protection, illicit trade detection, cybersecurity, or other societal-impact domains.
  • Interest in developing innovative AI solutions for real-world policy and societal challenges.

To Apply
Please include:
  • A current CV/resume.
  • Two representative publications or writing samples relevant to the position.

Applications will be reviewed on a rolling basis until the position is filled.
Pay rate: $25 per hour depending on experience.
FLSA STATUS
United States of America (Non-Exempt)
WPI is an Equal Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. It seeks individuals from all backgrounds and experiences who will contribute to a culture of creativity, collaboration, inclusion, problem solving, innovation, high performance, and change making. It is committed to maintaining a campus environment free of harassment and discrimination.

Apply