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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 ...

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 ...

New

Data Scientist

Chantilly, VA · On-site

$105K - $215K/yr

... delivery environments Data Scientist III * Bachelor's degree in Data Science, Statistics ... Mathematics, Computer Science, or related field * 10+ years of experience in data analytics or data ...

... delivery environments Data Scientist III * Bachelor's degree in Data Science, Statistics ... Mathematics, Computer Science, or related field * 10+ years of experience in data analytics or data ...

Data Scientist

Chicago, IL · On-site

$130 - $155/hr

You'll work across diverse data environments (from small, high‑value R&D experiments to complex ... Key Responsibilities Scientific and Statistical Partnership * Partner with scientists, engineers ...

You'll work across diverse data environments (from small, high-value R&D experiments to complex ... Partner with scientists, engineers, and manufacturing teams to frame high-impact problems, assess ...

Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join ... environments, data analysis algorithms, data management approaches, relational databases, or ...

Provide guidance in value-added ways for our scientists and engineers to leverage data to make ... Required: Proficiency with environmental relational database management systems, including ...

Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join ... environments, data analysis algorithms, data management approaches, relational databases, or ...

Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join ... environments, data analysis algorithms, data management approaches, relational databases, or ...

Provide guidance in value-added ways for our scientists and engineers to leverage data to make ... Required: Proficiency with environmental relational database management systems, including ...

Provide guidance in value-added ways for our scientists and engineers to leverage data to make ... Required: Proficiency with environmental relational database management systems, including ...

Degrees with a strong emphasis in mathematics, statistics, physical sciences, environmental science, or data analysis will also be considered. * Strong mathematical, analytical, and problem-solving ...

Degrees with a strong emphasis in mathematics, statistics, physical sciences, environmental science, or data analysis will also be considered. * Strong mathematical, analytical, and problem-solving ...

Degrees with a strong emphasis in mathematics, statistics, physical sciences, environmental science, or data analysis will also be considered. * Strong mathematical, analytical, and problem-solving ...

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Environmental Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do environmental data scientist jobs pay per year?

As of Aug 10, 2026, the average yearly pay for environmental data scientist 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 environmental data scientist?

Environmental Data Scientists typically require a solid background in statistics, environmental science, and data analysis, often supported by a relevant bachelor’s or master’s degree. Familiarity with programming languages such as Python or R, experience using GIS software, and knowledge of data visualization tools are key, while certifications in data science or environmental analysis can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help professionals articulate complex findings and collaborate across multidisciplinary teams. These capabilities enable Environmental Data Scientists to reliably interpret large datasets and provide actionable insights for environmental decision-making.

What does an environmental data scientist do?

A typical workday for an Environmental Data Scientist involves gathering and cleaning environmental datasets, conducting statistical analyses or modeling, and visualizing results for various stakeholders. You may collaborate with environmental engineers, researchers, and policy makers to interpret data trends and support ecological assessments or sustainability initiatives. Regular tasks often include coding, preparing reports, and presenting findings to team members or clients. The role blends independent analytical work with teamwork, making communication and project management skills essential for success.

What is an environmental data scientist?

An Environmental Data Scientist analyzes large datasets related to environmental issues, such as climate change, pollution, and biodiversity. They use statistical models, machine learning, and geospatial analysis to extract insights and support decision-making. Their work helps organizations develop sustainable solutions and policies based on data-driven evidence. Environmental Data Scientists often collaborate with scientists, policymakers, and industry professionals to address ecological challenges.

Is there a high demand for environmental data scientists?

Environmental data scientists are in high demand due to increasing focus on sustainability, climate change, and environmental monitoring. Organizations in government, research, and private sectors seek professionals skilled in data analysis, GIS, and environmental modeling, often requiring proficiency in tools like Python, R, and remote sensing technologies.
What cities are hiring for Environmental Data Scientist jobs? Cities with the most 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 Environmental Data Scientist jobs? States with the most job openings for Environmental Data Scientist jobs include:
Infographic showing various Environmental Data Scientist job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 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