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Environmental Data Science Jobs in Colorado (NOW HIRING)

AArete

Data Science Analyst

Denver, CO

Description Data Science Analyst AArete is one-of-a-kind when it comes to consulting firm culture ... Demonstrated ability to learn and adapt quickly in fast-changing AI environments, with passion for ...

bet365

Senior Data Scientist

Denver, CO · On-site

$135K - $150K/yr

This is an exciting opportunity to apply cutting-edge data science and MLOps principles in a fast-paced, high-impact environment, tackling complex challenges in areas like Trading, Fraud, Responsible ...

bet365

Senior Data Scientist

Denver, CO

This is an exciting opportunity to apply cutting-edge data science and MLOps principles in a fast-paced, high-impact environment, tackling complex challenges in areas like Trading, Fraud, Responsible ...

bet365

Senior Data Scientist

Denver, CO

$135K - $150K/yr

This is an exciting opportunity to apply cutting-edge data science and MLOps principles in a fast-paced, high-impact environment, tackling complex challenges in areas like Trading, Fraud, Responsible ...

Deloitte

AI and Data Science Engineer III

Denver, CO

$117K - $141K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

Talent Navigation Experts

Data Scientist

Denver, CO · Hybrid

... Science and Machine Learning folks to build and deploy data to their AWS cloud environment. This is a great opportunity in a highly visible hybrid role with great pay, bonus, and benefits.

Talent Navigation Experts

Data Scientist

Denver, CO · On-site

... Science and Machine Learning folks to build and deploy data to their AWS cloud environment. This is a great opportunity in a highly visible hybrid role with great pay, bonus, and benefits.

Xcel Energy

Principal Data Scientist

Denver, CO · On-site

$129K - $183K/yr

Innovating, exploring, and practicing the art of 'the possible' to uncover valuable data science ... Understanding of traditional enterprise architectures and relational database environments. As a ...

Deloitte

Manager - Data Science / Data Lake

Denver, CO · On-site

The team helps clients modernize security data environments, improve data operations, and apply ... Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or a ...

Deloitte

AI and Data Science Engineer III

Denver, CO · On-site +1

$117K - $141K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

Deloitte

Data Scientist

Colorado Springs, CO

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist, you will have the ability to share new ideas and ...

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Showing results 1-20

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 Jun 15, 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 in research or consulting settings.

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 it later in their careers. Gaining relevant knowledge in programming, statistics, and environmental science can be achieved at any age, and employers often prioritize expertise and problem-solving ability over age-related factors.

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 June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $129,062 per year, or $62 per hour.
Consultant, Environmental Data & Analytics

Consultant, Environmental Data & Analytics

Erm

Denver, CO • Hybrid

Full-time

Posted 2 days ago

Job description

ERM is seeking a Consultant, Environmental Data and Analytics to join our growing Data Services team. This role blends technical expertise in data analytics and visualization with a strong understanding of environmental data systems and governance. You will support the implementation of data solutions that support environmental, health, safety, and sustainability (EHS&S) initiatives for global clients.

Key Responsibilities

  • Develop interactive dashboards and reports using Power BI, Tableau, and Looker Studio.
  • Develop data integration and migrations involving platforms such as EQuIS, Enablon, and cloud-based systems (Azure, AWS, GCP).
  • Build and maintain datapipelines using SQL, Python, and ETL tools.
  • Collaborate with clients to define data models, data governance, quality, and security standards
  • Collaborate with clients to design and implement agentic AI workflows.
  • Support environmental data modeling, reporting, and visualization for groundwater, surface water, air, and biological metrics
  • Contribute to internal knowledge-sharing initiatives
  • Engage with clients to understand business needs and deliver tailored data solutions

Required Qualifications

  • Bachelor's or Master's degree in Data Analytics, Environmental Science, Computer Science, or related field.
  • 2+ years of experience in data analytics, data engineering, or environmental data management.
  • Proficiency in Power BI, Tableau, SQL, and Python.
  • Familiarity with cloud platforms (Azure, AWS, GCP).
  • Familiarity with modern data architectures (i.e. Medallion Architecture) and best-practice data engineering principles.
  • Valid driver's license and good driving record.
  • Strong communication and project management skills.
  • Authorized to work in the United Stated without immigration sponsorship. This position is not eligible for immigration sponsorship.

Preferred Qualifications

  • 4+ years preferred of experience in data analytics, data engineering, or environmental data management.
  • Certified Data Management Professional (CDMP) or AWS/Azure Data Engineer certification.
  • Experience with data governance tools (e.g., Alation, Collibra).
  • Knowledge of ESGreporting frameworks and sustainability metrics.
  • Experience with Agile or Lean Six Sigma methodologies.
  • Build and maintain Machine Learning (ML), LLM, Agentic AI systems (OCR, RAG, tool/function calling) for EHS&S use cases.
  • Working experience building production-grade ML, LLMs, and Agentic systems (RAG, tool/function calling, planning)
  • Experience with environmental data systems such as EQuIS, Enablon, or similar.
  • Knowledge of MLOps/LLMOps patterns, vector databases, agent-based architecture, and AI security/privacy.

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About ERM

Sourced by ZipRecruiter

As the largest global pure play sustainability consultancy, we partner with the world's leading organizations, creating innovative solutions to sustainability challenges and unlocking commercial opportunities that meet the needs of today while preserving opportunity for future generations. At ERM we know that creating a diverse, equitable and inclusive work environment is an essential part of making our company a great place to build a career. We also see our diversity as a strength that helps us create better solutions for our clients. Our diverse team of world-class experts supports clients across the breadth of their organizations to operationalize sustainability, underpinned by our deep technical expertise in addressing their environmental, health, safety, risk and social issues. We call this capability our "boots to boardroom" approach for its comprehensive service model that allows ERM to develop strategic and technical solutions that advance objectives on the ground or at the executive level.

Industry

Business management consulting

Company size

5,001 - 10,000 Employees

Headquarters location

City of London, Greater London, GB

Social media

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