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Conservation Data Science Jobs in Maryland (NOW HIRING)

Varsity Tutors

College Physics Tutor

College Park, MD · Remote

$18 - $40/hr

Ability to explain Newton laws, conservation principles, electromagnetic theory, wave superposition ... science sections. * Conceptual Teaching & Problem-Solving: Skilled at breaking down multi-step ...

Varsity Tutors

College Physics Tutor

Laurel, MD · Remote

$18 - $40/hr

Ability to explain Newton laws, conservation principles, electromagnetic theory, wave superposition ... science sections. * Conceptual Teaching & Problem-Solving: Skilled at breaking down multi-step ...

Varsity Tutors

College Physics Tutor

Bowie, MD · Remote

$18 - $40/hr

Ability to explain Newton laws, conservation principles, electromagnetic theory, wave superposition ... science sections. * Conceptual Teaching & Problem-Solving: Skilled at breaking down multi-step ...

Varsity Tutors

College Physics Tutor

Rockville, MD · Remote

$18 - $40/hr

Ability to explain Newton laws, conservation principles, electromagnetic theory, wave superposition ... science sections. * Conceptual Teaching & Problem-Solving: Skilled at breaking down multi-step ...

Varsity Tutors

College Physics Tutor

Baltimore, MD · Remote

$18 - $40/hr

Ability to explain Newton laws, conservation principles, electromagnetic theory, wave superposition ... science sections. * Conceptual Teaching & Problem-Solving: Skilled at breaking down multi-step ...

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Showing results 21-40

All JobsConservation Data Science JobsConservation Data Science Jobs in Maryland

Conservation Data Science information

See Maryland salary details

$36.4K

$119.1K

$190.7K

How much do conservation data science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for conservation data science in Maryland is $119,123.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,600.00 and $132,000.00 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 Maryland?

The most popular types of Conservation Data Science jobs in Maryland are:

What are popular job titles related to Conservation Data Science jobs in Maryland?

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

What job categories do people searching Conservation Data Science jobs in Maryland look for?

The top searched job categories for Conservation Data Science jobs in Maryland are:

Conservation Data Science jobs near you
Infographic showing various Conservation Data Science job openings in Maryland as of August 2026, with employment types broken down into 68% Full Time, 28% Part Time, and 4% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $119,123 per year, or $57.3 per hour.

Senior Quantitative Scientist

Think Tank, Inc.

Silver Spring, MD • On-site

$94K - $129K/yr

Contractor

Re-posted 12 days ago

Job description

*US Citizenship Required

*Full time Onsite Position at the NWFSC, Seattle, WA or at one of its associated field stations in WA or OR

*Travel is anticipated

*Anticipated Start: 4th quarter FY 2026

*Position is Subject to Contract Award

POSITION DESCRIPTION

The Senior Quantitative Scientist will support the Northwest Fisheries Science Center (NWFSC) Fish Ecology Division by conducting advanced quantitative analyses and developing ecological models that inform fisheries management and conservation decisions throughout the Pacific Northwest and California. Working with NOAA scientists, natural resource managers, tribal representatives, and interdisciplinary research teams, the Senior Quantitative Scientist evaluates the effects of environmental conditions, habitat characteristics, ecological interactions, and management actions on fish populations and aquatic ecosystems.

This position plays a critical role in analyzing large ecological datasets, developing and implementing fish life-cycle and stock assessment models, and generating scientific products that support sustainable fisheries management. The Senior Quantitative Scientist applies statistical, spatial, and computational approaches to understand drivers of fish abundance, growth, survival, and productivity across freshwater, estuarine, and marine habitats. Emphasis is placed on incorporating ecological interactions, including predator-prey dynamics and habitat influences, into quantitative assessments and management-support tools.

REQUIREMENTS

  • Education – Doctorate from an accredited college or university with an emphasis in a field of study related to the requirements of the task order including geomorphology, oceanography, hydrology, fisheries, ecology, natural sciences, mathematics, and/or statistics.
  • Experience – Three (3) years of experience related to the task order, including familiarity with the species and habitats managed by NOAA Fisheries in the West Coast region. An Advanced Degree (MS or PhD) in a related field may be substituted for two (2) years of experience.
  • Excellent verbal and written communication, and experience writing reports and publishing peer-reviewed articles. Familiarity with common software used in the workplace such as Google Suite and Microsoft Office.
  • Strong quantitative skills including familiarity with modeling and data analysis. Familiarity with software such as R, Python, GitHub and GIS and with open science concepts.
  • Ability to manage workload, stay organized, and produce high-quality work products efficiently.
  • Ability to work both independently and on interdisciplinary teams.

The proposed personnel must possess and maintain the following skills/certifications and/or credentials during the period of performance: valid driver's license.

DESIRED QUALIFICATIONS

  • Peer-reviewed publication record in fisheries ecology, quantitative ecology, or related field.
  • Collaboration with tribal representatives and regional resource management partners.
  • Presenting results at regional and national scientific meetings and conferences.
  • Familiarity with Pacific salmon, groundfish, or other NOAA WC managed species.
  • Experience with Bayesian or hierarchical modeling approaches.
  • Remote sensing data analysis (Landsat, LiDAR, or equivalent).

ABOUT THINK TANK INC.

Think Tank Inc. (TTI) is a CMMI Level 3 (DEV/SVC) appraised, ISO 9001, 27001, 20000-1, 31000, and 42001 certified provider of scientific, technical, and professional support services to federal agencies, including NOAA Fisheries under the ProTech 2.0 Fisheries IDIQ. Learn more at www.ttinc.com.

Think Tank Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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