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Entry Level Environmental Data Scientist Jobs (NOW HIRING)

The Hollister Group

Data Scientist - NYC

Bedford, MA · On-site +1

$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 ...

asrcfh

Data Scientist

Oklahoma City, OK

Experience working in a team environment * Experience authoring technical documentation and ... Level 1: Entry Level Level 2: Minimum 3 years of experience equivalent to a level 1 Level 3: ...

US Department of Commerce

Data Scientist

Greenbelt, MD

$147K/yr

... National Environmental Satellite, Data, and Information Service (NESDIS), National Centers for ... Mathematics, statistics, computer science, data science or field directly related to the position.

US Department of Commerce

Data Scientist

Boulder, CO

$147K/yr

... National Environmental Satellite, Data, and Information Service (NESDIS), National Centers for ... Mathematics, statistics, computer science, data science or field directly related to the position.

The Hollister Group

Data Scientist - NYC

Newton, MA · On-site +1

$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 ...

The Hollister Group

Data Scientist - NYC

Cambridge, MA · On-site +1

$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 ...

The Hollister Group

Data Scientist - NYC

Boston, MA · On-site +1

$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 ...

US Department of Commerce

Data Scientist

Madison, WI

$147K/yr

... National Environmental Satellite, Data, and Information Service (NESDIS), National Centers for ... Mathematics, statistics, computer science, data science or field directly related to the position.

The Hollister Group

Data Scientist - NYC

Lynn, MA · On-site +1

$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 ...

The Hollister Group

Data Scientist - NYC

Quincy, MA · On-site +1

$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 ...

asrcfh

Data Scientist

Oklahoma City, OK

Experience working in a team environment * Experience authoring technical documentation and ... Level 1: Entry Level Level 2: Minimum 3 years of experience equivalent to a level 1 Level 3: ...

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Entry Level Environmental Data Scientist information

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$41K

$84.1K

$123K

How much do entry level environmental data scientist jobs pay per year?

As of Jul 24, 2026, the average yearly pay for entry level environmental data scientist in the United States is $84,123.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $98,500.00 per year, depending on experience, location, and employer.

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

AspectEntry Level Environmental Data ScientistEntry Level Environmental Analyst
Required CredentialsBachelor's in Environmental Science, Data Science, or related field; some roles may prefer certifications in data analysis or GISBachelor's in Environmental Science, Environmental Management, or related field; certifications in environmental regulations or GIS are common
Work EnvironmentData-focused roles often in labs, research institutions, or corporate sustainability teamsFieldwork, data collection, and reporting in government agencies, consulting firms, or NGOs
Employer & Industry UsageUsed in research, corporate sustainability, and environmental consultingCommon in government agencies, environmental consulting, and non-profit organizations

While both roles require a background in environmental sciences, the Environmental Data Scientist focuses more on data analysis, modeling, and programming, whereas the Environmental Analyst emphasizes data collection, reporting, and regulatory compliance. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What does an Entry Level Environmental Data Scientist do?

An Entry Level Environmental Data Scientist collects, analyzes, and interprets environmental data such as air, water, and soil quality. They use statistical methods and programming tools to help identify patterns and trends, supporting research and policy decisions. Often, they work under the guidance of senior scientists to prepare reports, visualize data, and ensure data quality. Their work helps organizations understand environmental impacts and develop solutions for sustainability.

What types of projects and data sets do entry-level environmental data scientists typically work with?

As an entry-level environmental data scientist, you will often work with diverse data sets such as air and water quality measurements, climate records, satellite imagery, and GIS data. Projects can include analyzing trends in pollution, modeling the effects of environmental policies, or creating data visualizations to support sustainability initiatives. You’ll collaborate closely with environmental engineers, researchers, and policy teams, often participating in both data cleaning and preliminary analysis before results are shared with stakeholders. This variety provides valuable exposure to real-world environmental issues and lays a solid foundation for career growth.

What are the key skills and qualifications needed to thrive as an Entry Level Environmental Data Scientist, and why are they important?

To thrive as an Entry Level Environmental Data Scientist, you need a background in environmental science or a related field, along with strong skills in data analysis and statistics. Familiarity with programming languages like Python or R, experience with GIS software, and knowledge of data visualization tools are typically required. Analytical thinking, attention to detail, and effective communication are valuable soft skills that help in interpreting and sharing complex findings. These competencies are crucial for generating reliable insights and informing environmental decision-making within organizations.
More about Entry Level Environmental Data Scientist jobs
What cities are hiring for Entry Level Environmental Data Scientist jobs? Cities with the most Entry Level Environmental Data Scientist job openings:
What are the most commonly searched types of Environmental Data Scientist jobs? The most popular types of Environmental Data Scientist jobs are:
What states have the most Entry Level Environmental Data Scientist jobs? States with the most job openings for Entry Level Environmental Data Scientist jobs include:
What job categories do people searching Entry Level Environmental Data Scientist jobs look for? The top searched job categories for Entry Level Environmental Data Scientist jobs are:
Entry Level Environmental Data Scientist jobs near you
Infographic showing various Entry Level Environmental Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $84,123 per year, or $40.4 per hour.
Data Scientist - NYC

Data Scientist - NYC

The Hollister Group

Bedford, MA • On-site, Remote

$100 - $200/hr

Full-time

Posted 11 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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Pandologic. Keywords: Data Scientist, Location: Bedford, MA - 01730

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