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Environmental Data Science Jobs in Colorado (NOW HIRING)

CACI International, Inc.

Senior Data Scientist

Denver, CO · On-site

$82K - $172K/yr

Lead data science practices within a multi-team Agile delivery environment. Responsibilities: * Design, develop, and deploy analytic models and machine learning solutions against large-scale ...

Booz Allen Hamilton

Data Scientist, Lead

Aurora, CO

$112K - $257K/yr

... science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their ...

New

BillGO, Inc.

AI Data Scientist

Fort Collins, CO · On-site

$102K - $146K/yr

Required Qualifications • Bachelor's or Master's degree in Data Science, Computer Science ... environments. • Familiarity with financial transaction data, open banking APIs, or real-time ...

Booz Allen Hamilton

Data Scientist, Lead

Aurora, CO · On-site

$113 - $257/hr

... science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their ...

New

BillGO, Inc.

AI Data Scientist

Fort Collins, CO · On-site

Required Qualifications • Bachelor's or Master's degree in Data Science, Computer Science ... environments. • Familiarity with financial transaction data, open banking APIs, or real-time ...

Deloitte

Lead AI and Data Science Engineer II

Denver, CO · On-site

$105K - $139K/yr

Perform analytics in cloud-based environments, support the development of clear leadership-ready presentations, and stay current on developments in data science, behavioral science, and adjacent ...

Thaloz

CO - Sr. Data Scientist - 229

Denver, CO · On-site

Design and execute data science experiments, including causal analysis, A/B tests, and offline ... Strong written communication skills and a pragmatic approach to fast-moving environments.

Booz Allen Hamilton

Mid Data Scientist

Aurora, CO · On-site

$77K - $176K/yr

... science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of ...

New

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Aurora, CO · On-site

$77K - $176K/yr

... science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of ...

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Showing results 41-60

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 Aug 14, 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.

Is environmental data science a good major?

Environmental data science is a strong major for those interested in analyzing environmental data, using tools like GIS and statistical software. It prepares students for roles in environmental monitoring, research, and policy, often requiring skills in programming, data analysis, and environmental science. Job prospects are growing as organizations seek data-driven solutions to environmental challenges.

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.

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.

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 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 August 2026, with employment types broken down into 76% Full Time, 8% Part Time, 8% Temporary, and 8% Nights. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $129,062 per year, or $62 per hour.

Senior Data Scientist

CACI International, Inc.

Denver, CO • On-site

$82K - $172K/yr

Full-time

Medical, Retirement, PTO

Posted 29 days ago

Job description

Job Title: Senior Data Scientist
Job Category: Science
Time Type: Full time
Minimum Clearance Required to Start: TS/SCI with Polygraph
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Continental US
Anticipated Posting End: 12/31/2026
The Opportunity:
  • Apply advanced analytics and machine learning to mission problems for the National Geospatial-Intelligence Agency (NGA).
  • Work at the intersection of data science and geospatial intelligence, turning large, complex datasets into decision advantage.
  • Collaborate directly with analysts and mission users to shape analytic capabilities from concept to deployment.
  • Lead data science practices within a multi-team Agile delivery environment.

Responsibilities:
  • Design, develop, and deploy analytic models and machine learning solutions against large-scale structured and unstructured datasets.
  • Build and automate data processing pipelines for collection, cleaning, transformation, and enrichment.
  • Develop visualizations and analytic products that communicate complex findings to technical and non-technical audiences.
  • Collaborate with mission analysts to translate analytical requirements into deployed software capabilities.
  • Integrate analytic capabilities with program systems and services in coordination with development teams.
  • Evaluate model performance, drive iterative improvement, and document methodologies.
  • Mentor mid-level data scientists and promote analytic best practices across the program.

Qualifications:
Required:
  • Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (equivalent experience accepted).
  • 8+ years of data science, analytics, or related engineering experience.
  • Expert proficiency in Python (or R) for data manipulation, modeling, and analysis.
  • Experience developing and deploying machine learning models into production environments.
  • Strong SQL skills and experience with large-scale data platforms.
  • Demonstrated experience with data visualization tools and techniques.
  • Security Clearance (TS/SCI) with willingness to undergo polygraph examination.

Desired:
  • Experience with geospatial data (imagery, vector, raster) and geospatial analytics.
  • Familiarity with cloud-based ML services and containerized model deployment.
  • Experience supporting NGA analysts or Intelligence Community mission workflows.

What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
Since this position can be worked in more than one location, the range shown is the national average for the position.
The proposed salary range for this position is:
$82,100-$172,400
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

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