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Entry Level Conservation Data Science Jobs (NOW HIRING)

The Hollister Group

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts) * Experience writing ...

Benda Infotech

Junior Data Scientist

Chicago, IL

$70K - $100K/yr

This full-time, on-site position offers a fantastic opportunity for entry-level professionals eager ... Bachelor's degree in Data Science, Computer Science, Mathematics, or a related field * Familiarity ...

New

DeFiner Inc

Collaborate closely with data analysts, data engineers, and business and project stakeholders to incorporate their expertise into data science solutions. * Present and defend results to leadership ...

Ecosystem Services Exchange

Be Seen First

Conservation Drainage Specialist

Iowa Falls, IA · Remote

$50K - $100K/yr

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

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 ... Qualifications • Relevant coursework in agriculture, conservation, ecological sciences ...

Ecosystem Services Exchange

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Conservation Drainage Specialist

Sioux City, IA · Remote

$50K - $100K/yr

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

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Entry Level Conservation Data Science information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Jul 16, 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 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 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 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:
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 70% Full Time, 26% Part Time, 3% Temporary, and 1% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist - NYC

Data Scientist - NYC

The Hollister Group

Boston, MA • On-site

$100 - $200/hr

Contractor

Re-posted 9 days ago

Job description

Our client is seeking a talented Data Scientist to join their team as an independent remote employee. Our team brings data science and machine learning to the private equity investment process, providing unparalleled access to alternative data sources and proprietary data from portfolio companies. You'll be at the forefront of high-value tactical workflows that drive all aspects of the investment process. As a Data Scientist with our client, you'll have the opportunity to own due diligence processes, source efforts, or portfolio support initiatives, with your work influencing billions of dollars in investment decisions. You'll work in a collaborative, fast-moving team in close collaboration with experienced professionals passionate about AI/ML and its impact on the private equity space.
Compensation:
Pay Range: $100-$200/hr, depending on experience and scope.
Note: We encourage qualified applicants to apply even if their compensation expectations differ, as we value technical expertise and culture fit.
Responsibilities:
  • Develop predictive models and proprietary analytics from large datasets using advanced queries, filters, and data visualization tools
  • Create valuable insights from datasets directly with stakeholders
  • Architect and manage analytical projects from ideation to launch
  • Leverage alternative data sets to algorithmically determine the best investments for our clients
  • Conduct competitive analysis to determine the soundness of investments using all relevant data sources
  • Use ground-truth data from portfolio companies to improve business outcomes (automated lead generation/enrichment, forecast and churn modeling, etc.)
Requirements:
  • Bachelor's degree or concentration in a highly quantitative or relevant data science field (Computer Science, Statistics, Mathematics, Finance, etc.) or equivalent professional experience
  • Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts)
  • Experience writing code in Python
  • Experience handling terabyte-sized datasets, discovering hidden patterns, and working with managers to develop models
  • Excitement for the venture capital and private equity space and the opportunity to make analytical and data-driven decisions
  • Location: This role requires 3 days per week in our clients office in NYC.

Our Commitment to Inclusion & Belonging
The Hollister Group is an equal opportunity employer. We welcome and encourage applications from people who are under-represented in their respective occupation or position.
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