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Mid Level Wildlife Conservation Data Scientist Jobs

Founded in 1936, the National Wildlife Federation (NWF or Federation) is America's largest and most ... Working knowledge of GIS and compiling and organizing data and information for reports Work Mode ...

New

Data Scientist

Vienna, VA · On-site

$137K - $155K/yr

Position Overview SteerBridge is seeking a Data Scientist (Mid-Level) to support the Modern Disability Claims program. This role independently owns analytical projects from problem framing through ...

Leidos is actively interviewing for a Mid-Level Data Scientist to join our team in Springfield, VA. This team member will collect, process, and perform data analysis and deliver data driven solutions ...

Mid-Level Data Scientist

Springfield, VA · On-site

$73K - $132K/yr

Leidos is actively interviewing for a Mid-Level Data Scientist to join our team in Springfield, VA. This team member will collect, process, and perform data analysis and deliver data driven solutions ...

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Mid Level Wildlife Conservation Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do mid level wildlife conservation data scientist jobs pay per year?

As of Aug 30, 2026, the average yearly pay for mid level wildlife conservation data scientist 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 the difference between Mid Level Wildlife Conservation Data Scientist vs Wildlife Biologist?

AspectMid Level Wildlife Conservation Data ScientistWildlife Biologist
Required CredentialsBachelor's or Master's in Ecology, Data Science, or related fields; experience with data analysis toolsBachelor's or Master's in Biology, Ecology, or related fields; fieldwork experience
Work EnvironmentOffice-based, data analysis, research planning, occasional fieldworkFieldwork, research sites, laboratories
Employer & Industry UsageEnvironmental NGOs, research institutions, government agencies focusing on data-driven conservationWildlife agencies, research organizations, conservation projects involving field studies

The Mid Level Wildlife Conservation Data Scientist primarily focuses on analyzing data to inform conservation strategies, often working in an office setting. In contrast, a Wildlife Biologist conducts field research and studies animal behavior directly in natural habitats. Both roles support conservation efforts but differ in their daily tasks and work environments.

What cities are hiring for Mid Level Wildlife Conservation Data Scientist jobs?

Cities with the most Mid Level Wildlife Conservation Data Scientist job openings:

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

The most popular types of Wildlife Conservation Data Scientist jobs are:

Temporary Wildlife Conservation Biologist II/Wildlife Health Conservation Biologist

Son

Lincoln, NE

$17.89/hr

Full-time

Life, Retirement, PTO

Re-posted 18 days ago


Job description

The work we do matters!

Hiring Agency:

Game & Parks Commission - Agency 33


Location:

Lincoln, NE


Hiring Rate:

$17.893


Job Posting:

JR2026-00027909 Temporary Wildlife Conservation Biologist II/Wildlife Health Conservation Biologist (Open)


Applications No Longer Accepted On (If no date is displayed, job is posted as open until closed):


Job Description:

JOB DUTIES: Assist with Wildlife Health research, surveillance, dataset management, database development, and wildlife captures and sampling when appropriate. Assist with proposal development and project preparation, data acquisition, input, and analysis, meeting and presentation preparation and deliverance, and biological laboratory development and management. Assist with big game check station operations during harvest season including sample collection, data transcription, and subsequent dataset development.


Requirements / Qualifications:

Minimum Qualifications: 1 year experience OR 1 year coursework/training in fisheries management, natural resources, biology, and/or agriculture.

Preferred Qualifications: Bachelor's or master's degree in ecology, wildlife biology, veterinary sciences, or a related field with a focus on wildlife disease ecology. Driver's license required.


KNOWLEDGE, SKILLS, & ABILITIES: Experience in taxonomic identification and proficiency in biological and laboratory techniques (e.g. aseptic and/or safe biological sampling techniques during sample collections). Working knowledge of disease ecology and One Health practices and approaches as it relates to pathogens and disease in wildlife. Knowledge of Nebraska wildlife species helpful but not required. Demonstrated ability to effectively and appropriately communicate complex scientific principles around pathogens and disease to the public, other scientists, landowners, and other stakeholders. Demonstrated ability to develop and maintain collaborations and professional relationships. Analytical skills using GIS, R, R-Studio, or others desirable.


If you're currently employed by the State of Nebraska, please don't apply through this external career site. Instead, log in to Workday and open the Jobs Hub - Internal Apply app from your home landing page. You can access Workday anytime through the Link web page: https://link.nebraska.gov/


Benefits

We offer a comprehensive package of pay, benefits, paid time off, retirement and professional development opportunities to help you get the most out of your career and life. Your paycheck is just part of your total compensation.
Check out all that the State of Nebraska has to offer! Benefit eligibility may vary by position, agency and employment status. For more information on benefits, please visit: https://statejobs.nebraska.gov/index.html#benefits

Equal Opportunity Statement

The State of Nebraska values our teammates as well as a supportive environment that strives to promote diversity, inclusion, and belonging. We recruit, hire, train, and promote in all job classifications and at all levels without regard to race, color, religion, sex. age, national origin, disability, marital status or genetics.