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Entry Level Environmental Data Scientist Jobs (NOW HIRING)

Environmental Data Scientist

Boulder, CO · On-site +1

$75K - $105K/yr

Responsibilities Duties of the Environmental Data Scientist will include the following: * Data organization: organize, catalog, and structure heterogeneous environmental and geospatial datasets using ...

ENTRY LEVEL ENVIRONMENTAL SCIENTIST

New Albany, OH · On-site

$72K - $94K/yr

The Environmental Scientist will work under the mentorship of a Senior Environmental Scientist and ... Collects GPS data. * Completes USACE/OEPA ecological data forms. * Supports ODOT projects through ...

ENTRY LEVEL ENVIRONMENTAL SCIENTIST

New Albany, OH · On-site

$72K - $94K/yr

The Environmental Scientist will work under the mentorship of a Senior Environmental Scientist and ... Collects GPS data. * Completes USACE/OEPA ecological data forms. * Supports ODOT projects through ...

Data Scientist - San Francisco We are seeking a talented and experienced Data Scientist to join our ... You will work within a collaborative, innovative environment where your insights will shape our ...

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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 Aug 10, 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?

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:
Infographic showing various Entry Level Environmental Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $84,123 per year, or $40.4 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Overview

Lynker Corporation is a leading provider of innovative solutions in weather and climate science. With a commitment to excellence and a passion for innovation, Lynker leverages cutting-edge technologies and scientific expertise to support the creation and delivery of improved operational weather forecasts. As part of our ongoing growth and expansion, we are seeking a dynamic and experienced Environmental Data Scientist to join our growing team.

Responsibilities

Duties of the Environmental Data Scientist will include the following:

  • Data organization: organize, catalog, and structure heterogeneous environmental and geospatial datasets using consistent metadata and controlled vocabularies, with clear provenance, so they can be combined consistently and reproducibly.
  • Analytical logic: help define how rules and analytical logic are represented, versioned, and evaluated against layered datasets, with traceable analytical lineage from inputs to results.
  • Data product design: define what analytical inputs and outputs should contain, including data, results, and metadata, the schemas that represent them, and how those schemas evolve over time.
  • Domain reasoning: bring environmental and hydrologic domain knowledge to bear on how data is weighted, interpreted, and encoded into rules.
  • Validation & QA: develop checks, test cases, and validation logic to confirm that rules produce correct, explainable, and consistent results.
  • Documentation & collaboration: document data schemas, analytical logic, and data sources; collaborate across the Science, Engineering, and Platform teams to keep the system understandable, accessible, and maintainable.
Qualifications

The Environmental Data Scientist selected should have the following:

  • Master's in environmental science, ecosystem science, water resources, hydrology, earth science, environmental data science, or a related field; or a Bachelor's plus 2 years applying data science to environmental problems; or equivalent hands-on experience.
  • Strong environmental and data science background, with the ability to reason about how environmental evidence should be represented and combined.
  • Proficiency in a data science language such as R or Python for data wrangling, analysis, and modeling.
  • A working sense of geospatial data science, including experience with GIS tooling and spatial datasets (e.g., R, ArcGIS, QGIS, Google Earth Engine).
  • Comfort thinking structurally about data schemas, inputs, and outputs, and translating domain logic into clear, testable rules.
  • Strong technical and scientific writing skills.

The Ideal Environmental Data Scientist will have the following:

  • Experience designing data schemas, structured formats, or APIs, and defining inputs and outputs for downstream consumers.
  • Familiarity with rules-based or decision-support systems and how to make their logic transparent and explainable.
  • Experience integrating multiple public and agency data sources (e.g., USGS, NOAA, PRISM) for watershed or environmental analysis.
  • Exposure to machine learning or statistical modeling applied to environmental data.
  • Track record of scientific writing, publication, or open-source contribution.
  • Colorado Front Range presence for periodic in-person collaboration.

About Lynker

Lynker is a growing, employee owned business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.

We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities - creatively and effectively.

Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker's benefits include the following:

  • Comprehensive healthcare for the employee at no monthly cost
  • Healthcare benefit covers medical, prescription drug, dental, and vision
  • Personal Time Off (PTO) Policy plus paid holidays
  • Highly competitive compensation plan regularly calibrated against industry and location benchmarks
  • 401(k) retirement plan with company-matching
  • Employee Stock Ownership Plan (ESOP) - we're all company owners!
  • Flexible spending accounts
  • Employee assistance program (EAP)
  • Short- and long-term disability insurance
  • Life and accident insurance
  • Tuition assistance/Training/Workforce improvement reimbursement per year
  • Spot bonuses for exceptional performance
  • Annual Employee Recognition Awards with bonuses
  • Employee Referral Program
  • Free centralized, self-directed Learning Management System to learn at your own pace
  • Personalized career growth plans for every employee

Lynker is an E-Verify employer.

Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.

  Employment Type: FULL_TIME