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Environmental Data Science Jobs in Colorado (NOW HIRING)

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.

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Data Science Team Lead/Manager

Denver, CO

... in fast-paced environments, possesses a strong bias for action, and values execution over ... Data Science team. Main Responsibilities: • In this hands-on role you will devise, code, and ...

New

SPECTRUM

Manager, Data Science

Greenwood Village, CO

$98K/yr

As Manager, Data Science at Spectrum, you'll lead a talented team using sophisticated techniques to ... Office environment * Travel as required What You'll Bring to Spectrum   Required ...

New

Apogee Engineering, LLC

Data Scientist

Colorado Springs, CO · On-site

$155K - $190K/yr

Demonstrate experience and knowledge of computer science concepts, data architecture, intelligence practices, and managing data in a big-data environment. * Demonstrate expert knowledge of Python ...

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Data Science Team Leader

Denver, CO · On-site

$155K - $165K/yr

As the Data Science Team Leader, you will be a critical part of our expanding global data ... Proven experience working in a fast-paced, agile, or startup-like environment. You must have a ...

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Data Science Team Leader

Denver, CO · On-site

$165K/yr

As the Data Science Team Leader, you will be a critical part of our expanding global data ... Provenexperience working in a fast-paced, agile, or startup-like environment. You must have a ...

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Data Science Team Leader

Denver, CO · On-site

$155K - $165K/yr

As the Data Science Team Leader, you will be a critical part of our expanding global data ... Provenexperience working in a fast-paced, agile, or startup-like environment. You must have a ...

Prescient Edge

Senior Data Scientist

Colorado Springs, CO · On-site

$135K - $210K/yr

Demonstrate experience and knowledge of computer science concepts, data architecture, intelligence practices, and managing data in a big-data environment. * Demonstrate expert knowledge of Python ...

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All JobsEnvironmental Data Science JobsEnvironmental Data Science Jobs in Colorado

Environmental Data Science information

See Colorado salary details

$39.4K

$129.1K

$206.6K

How much do environmental data science jobs pay per year?

As of Jul 24, 2026, the average yearly pay for environmental data science in Colorado is $129,062.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $143,000.00 per year, depending on experience, location, and employer.

What does an environmental data scientist do?

An environmental data scientist analyzes environmental data to identify patterns, assess environmental risks, and support decision-making. They use statistical tools, programming languages like Python or R, and GIS software to interpret data related to climate, pollution, and natural resources, often working with large datasets and models to inform environmental policies and practices.

Can data scientists make $300k?

Environmental data scientists can potentially earn $300,000 or more at senior levels or in specialized roles, especially with extensive experience, advanced skills in machine learning, and working in high-demand industries or organizations. However, such salaries are typically achieved through seniority, leadership positions, or in regions with higher compensation standards.

What is Environmental Data Science?

Environmental Data Science is an interdisciplinary field that uses statistical, computational, and analytical techniques to collect, analyze, and interpret large sets of data related to the environment. Professionals in this field work on issues like climate change, pollution, biodiversity, and natural resource management by extracting meaningful insights from complex environmental datasets. Their work supports decision-making for policy, conservation, and sustainability initiatives. Environmental data scientists often collaborate with ecologists, geographers, and policymakers to address environmental challenges using data-driven approaches.

Is 40 too late for data science?

Environmental Data Science is a field that values skills and experience over age, and many professionals transition into data science later in their careers. Gaining relevant knowledge in programming, statistics, and environmental data tools can enable a successful entry regardless of age, as continuous learning and practical experience are key factors in the field.

What are some common challenges faced by environmental data scientists when working with real-world datasets?

Environmental data scientists often encounter challenges such as incomplete or inconsistent data, varying data formats, and the need to integrate information from multiple sources like sensors, satellites, and field observations. Addressing missing values, data quality issues, and ensuring proper geospatial alignment can be time-consuming but is essential for producing reliable analyses. Collaboration with domain experts and stakeholders is frequently required to interpret findings and ensure that the results are actionable for environmental policy or management decisions.

What is the difference between Environmental Data Science vs Environmental Data Analyst?

AspectEnvironmental Data ScienceEnvironmental Data Analyst
Required CredentialsTypically requires a degree in data science, environmental science, or related fields; often includes programming and statistical certificationsUsually requires a degree in environmental science, geography, or related fields; may include basic data analysis certifications
Work EnvironmentResearch labs, data centers, environmental agencies, or consulting firmsEnvironmental agencies, research organizations, or consulting firms
Employer & Industry UsageUsed in environmental research, climate modeling, and policy analysisUsed in environmental monitoring, reporting, and data interpretation

Environmental Data Science focuses on developing models and algorithms to analyze complex environmental data, often requiring advanced programming skills. In contrast, Environmental Data Analysts primarily interpret and visualize environmental data to support decision-making. Both roles are vital but differ in technical depth and scope.

What is the highest paying environmental science job?

Environmental Data Science roles such as senior environmental data scientists or environmental analytics managers tend to have the highest salaries in the field, often exceeding $100,000 annually. These positions typically require advanced skills in data analysis, programming, and environmental modeling, and may involve leadership responsibilities or specialized expertise in areas like climate modeling or sustainability analytics.

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

To thrive as an Environmental Data Scientist, you need strong quantitative skills, expertise in environmental science, and a relevant degree in data science, statistics, or a related field. Familiarity with data analysis tools such as Python, R, GIS software, and experience with large datasets or machine learning techniques is typical. Exceptional problem-solving abilities, communication skills, and attention to detail set top performers apart in this field. These competencies are crucial for effectively interpreting complex environmental data, informing policy, and driving impactful sustainability initiatives.
What are the most commonly searched types of Environmental Data Science jobs in Colorado? The most popular types of Environmental Data Science jobs in Colorado are:
What are popular job titles related to Environmental Data Science jobs in Colorado? For Environmental Data Science jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Environmental Data Science jobs in Colorado look for? The top searched job categories for Environmental Data Science jobs in Colorado are:
What cities in Colorado are hiring for Environmental Data Science jobs? Cities in Colorado with the most Environmental Data Science job openings:
Environmental Data Science jobs near you
Infographic showing various Environmental Data Science job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $129,062 per year, or $62 per hour.
Experienced Environmental Data Manager

Experienced Environmental Data Manager

Geosyntec Consultants, Inc.

Fort Collins, CO • On-site, Remote

$145K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Job description

Overview

Do you want to build an impactful career to change the world for the better? 

Geosyntec has an exciting opportunity for an Experienced Environmental Data Manager in our Santa Barbara, San Diego, Ventura, California office or remotely from your home-office in Fort Collins, CO.  The position will apply your academic knowledge and solid understanding and experience with standard practices and techniques used when working with environmental chemistry data to support and manage projects that include environmental assessments, groundwater remediation, water resources, geotechnical construction, and more. 

Geosyntec is an innovative, international engineering and consulting firm serving private and public-sector clients to address new ventures and complex problems involving our environment, natural resources, and civil infrastructure. Our engineers, scientists, technical and project employees serve our clients from offices across the world. Ranked by ENR as one of the top environmental engineering design firms, Geosyntec is internationally known for its technical leadership, broad experience, and exceptional client service.

We invest in our people.  Each employee is unique, and your career at Geosyntec will be too.  We offer competitive pay and benefits, and well-being programs to support you and your family.

To Learn More Visit: http://www.geosyntec.com/careers/.

Essential Duties and Responsibilities
  • Designing, developing, and managing project-specific relational database applications using enterprise (MS SQL Server, EQuIS) database software;
  • Developing comprehensive workflows and metadata to automate compilation of data from multiple sources and serve data to maps, reports, and other tools;
  • Managing and organizing datasets for the entire lifecycle of environmental data, from planning to final reporting activities,
  • Providing QA/QC on data, systems, and processes related to environmental data,
  • Compiling, verifying, analyzing, and reporting large and diverse datasets;
  • Interacting with internal and external providers (laboratories, consultants, agencies, etc.) to coordinate collection and transfer of data to project databases;
  • Collection, manipulation, querying, and analysis of databases and environmental analytical and geospatial data;
  • Interacting with internal and external clients to support database management and data visualization for environmental, engineering, and geoscience projects.
Education and Licensure
  • Bachelor's degree in environmental science, chemistry, geography, computer science, engineering, or geology. (required)
  • Advanced degree in environmental science, chemistry, geography, computer science, engineering, or geology. (preferred)
Skills, Experience and Qualifications
  • At least 5 (7+ preferred) years of technical training and experience in relational database technology, or equivalent combination of education and experience. (required)
  • Experience with database management and building ETL processes. (required)
  • Advanced proficiency with MS Excel and MS Access, including the ability to write complex formulas and visualize data effectively. (required)
  • Ability to write complex SQL queries and automate routine processes. (required)
  • Exceptional attention to detail in quantitative work products, written communication, spelling, and grammar. (required)
  • Proficiency with Microsoft SQL Server, including the ability to automate processes (preferred). 
  • Proficiency with EarthSoft's EQuIS environmental data management platform (preferred)
  • Ability to automate processes using scripts (e.g., Python, R). (preferred)
  • Direct experience managing environmental, geologic, and geotechnical data collection. (preferred)
  • Knowledge of laboratory analytical data verification and validation processes. (preferred)
  • Experience submitting data to-and obtaining data from-agency and government databases (e.g., CA Water Boards Geotracker, Arizona Department of Environmental Quality, NIRIS, ERPIMS, CEDEN) (preferred)
  • Valid U.S. driver's license and a satisfactory driving record for business travel. (required)

This opportunity will be posted for at least five days. Below are the potential compensation ranges that we in good faith believe are applicable for this role at the time of this posting and are only applicable for jobs to be performed in the specified location(s) below. The typical base salary range for this position is just one component of Geosyntec's total compensation package for employees. Actual compensation will be determined based on education, experience, skill set and location.

  • Minimum Salary: $97,255 /year / Maximum Salary: $145,940 /year (San Diego, Santa Barbara, Ventura, CA)
  • Minimum Salary: $92,835 /year / Maximum Salary: $139,310 /year (Colorado)

We offer a comprehensive benefits package including, paid holidays, vacation, sick, and personal paid time off, medical, dental, vision, life, and disability insurance, 401(k), and other benefits to eligible employees.

Employment Type: FULL_TIME

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