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Environmental Data Science Jobs in Colorado (NOW HIRING)

Prescient Edge

Senior Data Scientist

Colorado Springs, CO · On-site

$150 - $190/hr

  • Medical

  • Dental

  • Vision

  • Retirement

A positive work environment where employees are respected, supported, and engaged. Responsibilities * Conduct data science functions on structured and unstructured data to streamline intelligence ...

Talent Navigation Experts

Data Scientist

Denver, CO · On-site

  • Retirement

... 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.

Keysight Technologies, Inc.

Applied Data Scientist

Loveland, CO

$117K - $196K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Qualifications * Master's or PhD in Data Science, Computer Science, Electrical Engineering ... Prior exposure to environments combining simulation and real-world measurement data . Careers ...

Hercules Industries

Data Scientist

Denver, CO · On-site

Required : • Bachelor's degree in data science, Statistics, Mathematics, Engineering, Economics ... in a fast-paced environment Preferred : • Experience in supply chain, operations, or ...

Fanatics Betting & Gaming

Data Scientist I

Denver, CO · On-site

The role reports into the Data Science Director and will focus on creating insight to drive the ... Outcome-oriented and data-driven; comfortable navigating fast-paced, high-growth environments.

Radiance Technologies

Data Scientist

Colorado Springs, CO · On-site

$150K - $175K/yr

Support data management activities within large-scale, enterprise data environments. Required Qualifications * Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or ...

EIS Holdings

Staff Environmental Scientist

Wheat Ridge, CO · On-site

$55K - $65K/yr

Manage and organize environmental data, including entry, compilation, evaluation, and quality ... S. in Geology, Environmental Science, or closely related field. Valid driver's license with clean ...

CACI International, Inc.

Data Scientist - Mid

Denver, CO · On-site

$69K - $141K/yr

  • Medical

  • Retirement

  • PTO

Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee ... Work with modern Python-based tooling in an Agile, mission-focused delivery environment. * Grow ...

Booz Allen Hamilton, Inc.

Data Scientist, Lead

Aurora, CO · On-site

$112K - $257K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... 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

Booz Allen Hamilton, Inc.

Data Scientist, Lead

Aurora, CO · On-site +1

$112K - $257K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... 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

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Showing results 21-40

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.

Machine Learning / Data Science Engineer

CapTech Consulting

Denver, CO • On-site

$117K - $141K/yr

Full-time

Medical, Retirement, PTO

Re-posted 26 days ago

Job description

Company Description
CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.
Job Description
CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.
Specific responsibilities for the Machine Learning Engineer position include:
  • Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs
  • Deconstructing client needs into data-driven processes/models and analytical measures.
  • Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).
  • Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).
  • Productionizing ML systems with a focus on optimization and scalability to satisfy clients' requirements.
  • Growing CapTech's Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.

Qualifications
  • Bachelor's degree or equivalent combination of education and experience.
  • Hands-on experience manipulating and analyzing large (multi-billion record) data sets.
  • Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.
  • Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.
  • Proficiency with containerization (e.g., Docker) and microservices.
  • Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS
  • Comfort and proficiency in framing data-driven problems from cross-industry business requirements.
  • Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)
  • Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).
  • Knowledge of DevOps and automation best practices.
  • Knowledge of statistics and statistical modeling methods.
  • Knowledge of model management and model versioning best practices.
  • Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting
  • Experience with prompt engineering, MCP and RAG, and agentic AI architectures
  • Strong understanding of conversational UX and prompt evaluation metrics
  • Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.)
  • Experience with multi-agent orchestration

Additional Information
We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs.
  • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
  • Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
  • Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs
  • Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care
  • Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
  • Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
  • Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities.
  • 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness

CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.
CapTech supports Equal Pay for all. In addition, in the State of Colorado, we are committed to Equal Pay for ALL in accordance with the Colorado Equal Pay for Equal Work Act. The base pay range for this role is: $95,000 - $200,000.
At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

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