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Entry Level Conservation Data Science Jobs (NOW HIRING)

This role is a temporary, hourly role, with the possibility to transition into a full time entry-level Data Scientist role in the fall. The role is 40 hours per week and pays $32.50 per hour. Prism ...

This role is a temporary, hourly role, with the possibility to transition into a full time entry-level Data Scientist role in the fall. The role is 40 hours per week and pays $32.50 per hour. Prism ...

The position involves collecting, compiling, and managing conservation data; preparing ... Guided by science, TNC creates innovative, on-the-ground solutions to our world's toughest ...

Entry-Level Software Programmer SYNERGISTIC wants every candidate to know we are always here to ... data analysts/data scientists. Who Should Apply: * Recent IT graduates looking to make their ...

Data Scientist,

Front Royal, VA · On-site

$102.42K - $133.14K/yr

... advancing conservation and ecological understanding through innovative data analysis. The successful candidate will work at the interface of ecology, statistics, and data science with large ...

SGS04 Salary Range: $43,088 - $63,770 Job Summary The Conservation Specialist is an entry-level ... Collect environmental data related to air quality, water quality, soil health, and other natural ...

Currently, we are looking for qualified entry-level Data Scientists who can apply Data Science principles to design, test, implement, and develop data-based solutions, including reporting, auditing ...

Data Science Engineer (Entry Level)

Orange, CA

$122.30K - $146.90K/yr

From staffing to full implementation of projects we provide the highest quality IT services. We provide Java and Data Science training to candidates, who we think would fit a job requirement with one ...

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Entry Level Conservation Data Science information

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$37.5K

$122.7K

$196.5K

How much do entry level conservation data science jobs pay per year?

As of Jun 4, 2026, the average yearly pay for entry level 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 are the key skills and qualifications needed to thrive as an Entry Level Conservation Data Scientist, and why are they important?

To thrive as an Entry Level Conservation Data Scientist, you need a background in ecology or environmental science, proficiency in data analysis, and experience with statistics, usually supported by a relevant bachelor's degree. Familiarity with programming languages like R or Python, data visualization tools, and GIS software is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with multidisciplinary teams and share findings clearly. These competencies are crucial for generating actionable insights from complex environmental data to support conservation decision-making.

What types of projects can an Entry Level Conservation Data Scientist expect to work on, and how do they typically contribute to larger conservation efforts?

As an Entry Level Conservation Data Scientist, you can expect to work on projects such as analyzing wildlife population data, mapping habitat changes using GIS, and modeling the impacts of environmental policies. Your work often involves managing and cleaning ecological datasets, running statistical analyses, and visualizing results to support conservation decisions. You’ll typically collaborate with ecologists, field researchers, and policy teams to translate data insights into actionable conservation strategies. This role is a great starting point for learning how data-driven approaches directly inform and improve conservation practices.

What is entry level conservation data science?

Entry level conservation data science is a field where professionals use data analysis and computational tools to help solve problems in environmental conservation. These roles typically involve collecting, cleaning, and analyzing data related to wildlife, ecosystems, and natural resources. Entry-level positions may include tasks like managing databases, visualizing geographic information, and supporting research projects. This field is ideal for recent graduates with skills in data science, ecology, or environmental science who want to contribute to conservation efforts.

What is the difference between Entry Level Conservation Data Science vs Entry Level Environmental Data Analyst?

AspectEntry Level Conservation Data ScienceEntry Level Environmental Data Analyst
Required CredentialsBachelor's in Environmental Science, Data Science, or related field; basic programming skillsBachelor's in Environmental Science, Data Analysis, or related field; proficiency in data tools
Work EnvironmentFieldwork, research institutions, conservation organizationsResearch labs, government agencies, environmental consultancies
Employer & Industry UsageConservation projects, wildlife agencies, NGOsEnvironmental impact assessments, policy analysis, sustainability firms

While both roles involve analyzing environmental data, Conservation Data Scientists focus on applying data science techniques to conservation efforts, often combining field data with advanced analytics. Environmental Data Analysts typically handle data interpretation for environmental reports and policy. The roles overlap in skills and industry but differ in focus and application.

More about Entry Level Conservation Data Science jobs
What cities are hiring for Entry Level Conservation Data Science jobs? Cities with the most Entry Level 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 Entry Level Conservation Data Science jobs? States with the most job openings for Entry Level Conservation Data Science jobs include:
What job categories do people searching Entry Level Conservation Data Science jobs look for? The top searched job categories for Entry Level Conservation Data Science jobs are:

Conservancy Data Specialist

CHESAPEAKE CONSERVANCY INC

Annapolis, MD • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 16 days ago


Job description

ABOUT THE CONSERVANCY


Chesapeake Conservancy is a non-profit organization based in Annapolis, Maryland, dedicated to ensuring a healthier Chesapeake Bay watershed where fish and wildlife thrive, with healthy waters and abundant forests, wetlands, shorelines, and open spaces. With a human population in the Chesapeake watershed of 18 million and tens of thousands of acres of open space vanishing each year, the Conservancy works to connect people with the Chesapeake’s wildlife and history; conserve landscapes and rivers; and restore the region’s natural resources. The Conservancy works in close partnership with the EPA’s Chesapeake Bay Office as well as other federal, state and local agencies, private foundations, and corporations to advance conservation.

Within the Conservancy, the Conservation Innovation Center (CIC) group has become a globally recognized leader in producing data, analyses, and web applications to advance precision conservation and restoration. We partner with industry-leading organizations like Microsoft and Esri to help define the next generation of environmental data and work with partners on the ground to make sure it is useful. The CIC has recognized the potential of AI/ML to dramatically improve the analysis of large and complex datasets to improve environmental decision making. 

Chesapeake Conservancy is seeking a Conservation Data Specialist with experience leveraging machine learning (ML), Artificial Intelligence (AI) and large and complex data sets in the environmental world.

POSITION SUMMARY


The Conservation Data Specialist will be responsible for assisting with the development and management of a variety of projects both inside and outside the Chesapeake Bay watershed that leverage AI, big data, and cloud computing to improve environmental decision making. The successful candidate will have a unique opportunity to develop innovative data products and tools while collaborating with other leading organizations, and work with impact partners to deliver on-the-ground conservation benefits. Experience with or interest in environmental issues, including water quality and quantity management, ecosystem and habitat modeling, and land management is highly desired.

Essential Functions

  1. Create data science solutions for a diverse set of environmental problems. With guidance from the Deputy Director, the Conservation Data Specialist will develop and test data visualization and analytical tools that use statistics, machine learning, and AI to generate new information that improves conservation decision making. These tools may range from internal modules to public facing web applications.
  2. Develop efficient pipelines to leverage large data sets. The CIC uses a variety of spatial and non-spatial data, including satellite and aerial imagery; LiDAR; national, state, and local planimetrics; and ecological models. The Conservation Data Specialist will design and implement data processing and storage protocols that efficiently access these resources and translate them into analysis-ready formats.
  3. Work closely with the CIC team and external partners to incorporate domain expertise into the design and function of  data science solutions that improve conservation workflows and outcomes.
  4. Collaborate with team members. Candidates must be able to work within the CIC’s structure to add additional capabilities. This includes working with peers and supervisors in problem solving, and providing constructive feedback on ideas and problems. The CIC team is a highly collaborative and innovative group. Ideal candidates will participate in brainstorming and discussions. 
  5. Obtain, organize, and process component datasets. The Conservation Data Specialist will implement effective data organization and documentation systems to successfully complete projects with high volumes of diverse, complex data. The Conservation Data Specialist will be expected to stay up-to-date with new datasets that can be leveraged in the CIC’s work.
  6. Independent problem solving. Much of the CIC’s work involves finding unique, customized solutions to conservation challenges. Errors and unknowns will be encountered. This position will be required to handle a range of technical challenges and to devise solutions based on available resources. The Conservation Data Specialist will be expected to stay current with new and emerging geospatial and data science tools, and to share these with the rest of the CIC team.
  7. Compiling deliverables. Project deliverables may include maps, memos, methodology, reports, slide decks, datasets, or grant reports. Applicants should be able to write concisely and effectively, and design impactful products.

KEY QUALIFICATIONS


The Conservation Data Specialist should be an organized, dependable, and goal-driven individual with a passion for the mission of the Chesapeake Conservancy – public access, conservation, and education and stewardship of the Bay and its resources. Candidates must be able to challenge conventions, to thrive independently as well as on a team in a relaxed, dynamic office culture, and to think creatively. Other essential skills include adaptability, independence in problem solving, strong oral and written communication, and an ability to teach others technical material.

REQUIREMENTS

  • Bachelor’s in data science, computer science/engineering, geospatial analysis, GIS or related field.
  • 2-3 years experience using data science to solve problems.
  • Familiarity with AI (e.g., neural networks for NLP, computer vision, etc.), ML. (e.g., random forests, clustering, PCA, etc.) techniques.
  • Proficient in Python.
  • Experience with other programming languages such as JavaScript, R, or similar.
  • Familiarity with SQL and relational databases.
  • Familiarity with Git and GitHub
  • Experience analyzing geospatial data.
  • Experience analyzing time series data.
  • Experience developing and conducting statistical analysis including: Bayesian modeling, causal inference methods, generalized linear models, joint modeling, or hierarchical models.
  • Excellent oral and written communication skills.
  • Team player with proven ability to build trusted relationships.
  • Demonstrated ability to work efficiently, independently manage time, and meet demanding deadlines.
  • Ability to learn new technologies, adapt to dynamic mission needs, and develop/test new analytic methodologies 

Skills/Experience Nice to Have

  • Experience with TensorFlow, PyTorch, or Keras
  • Experience managing resources on cloud computing platforms e.g., Azure or AWS
  • Experience working with remote sensing data and repositories e.g., Google Earth Engine, Microsoft Planetary Computer
  • Experience deploying web-based software
  • Experience managing and maintaining servers hosting web applications
  • Experience building custom web applications
  • Excellent oral and written communication skills
  • The ability to translate data science to non-technical people at all levels
  • Experience adapting geospatial foundational models

LOCATION


This position will be based in Annapolis, Maryland, however travel throughout the United States for meetings with partners may be required. 

The Chesapeake Conservancy office operates under a hybrid remote/in-person environment with one day in the office per week required.

Chesapeake Conservancy is an equal opportunity employer. Salary and benefits are commensurate with the candidate’s relevant professional experience and/or education with an expected salary range between $70,000-$80,000.

The Conservancy offers a competitive employee benefits package that includes health and dental insurance, life insurance, disability insurance, paid vacation and sick leave, and participation in a retirement savings plan. Opportunities for advancement and professional development are available.