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Entry Level Conservation Data Science Jobs (NOW HIRING)

Ecosystem Services Exchange

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Conservation Drainage Specialist

Omaha, NE · Remote

$50K - $100K/yr

You also will spend time in the field for data collection to support plans and designs and oversee ... Relevant coursework in agriculture, conservation, ecological sciences, engineering, mathematics, or ...

Ecosystem Services Exchange

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Conservation Drainage Specialist

Minneapolis, MN · Remote

$50K - $100K/yr

You also will spend time in the field for data collection to support plans and designs and oversee ... Relevant coursework in agriculture, conservation, ecological sciences, engineering, mathematics, or ...

Ecosystem Services Exchange

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Conservation Drainage Specialist

Ames, IA · Remote

$50K - $100K/yr

You also will spend time in the field for data collection to support plans and designs and oversee ... Relevant coursework in agriculture, conservation, ecological sciences, engineering, mathematics, or ...

Global Lending Services

Data Scientist

Greenville, SC · On-site

This posting is to enter our campus recruiting and entry-level process for position offers being made for May 2026*** What does it mean to be a Data Scientist at GLS? GLS relies heavily on Data ...

Global Lending Services

Data Scientist

Greenville, SC · On-site

This posting is to enter our campus recruiting and entry-level process for position offers being made for May 2026*** What does it mean to be a Data Scientist at GLS? GLS relies heavily on Data ...

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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 Aug 6, 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 types of projects does an entry level conservation data scientist work on?

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 are the key skills and qualifications needed to thrive as an entry level conservation data scientist?

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 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 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:
Entry Level Conservation Data Science jobs near you
Infographic showing various Entry Level Conservation Data Science job openings in the United States as of July 2026, with employment types broken down into 68% Full Time, 29% Part Time, 2% Temporary, and 1% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Junior Level Data Scientist/java Programmer (Remote)

SynergisticIT

Los Angeles, CA • On-site

Other

Posted 25 days ago

Job description

Entry-Level Data Scientist / Java Developer — Choose a Path With Support If you are applying everywhere but not getting responses, it may be time to stop guessing and start building a structured plan. Many candidates are interested in both software and data careers but do not know which path fits their strengths or how to present themselves to employers. SynergisticIT is considering candidates for entry-level Java developer, Python developer, software programmer, data analyst, data engineer, data scientist, and ML/AI programmer paths. This opportunity is ideal for candidates who want guidance, stronger skills, better projects, and a more focused job-search strategy. Since 2010, we’ve helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor’s or Master’s programs Those struggling to land interviews despite having experience please read our blogs · Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ · Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ SynergisticIT JOPP is good because it helps candidates close the gap between coursework and hiring expectations. Whether your direction is Java, full stack, DevOps, analytics, data science, or AI, the program helps emphasize practical skills, project work, resume preparation, interview readiness, and job-market execution. Choose a career path with structure and support—contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume.

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