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Environmental Data Science Jobs in Colorado (NOW HIRING)

Data Scientist

Louisville, CO · On-site

$150K - $160K/yr

Translate ambiguous business problems into scalable data science solutions that drive measurable outcomes * Work hands-on in the command line and development environments to build, test, and iterate ...

Data Scientist AI/ML

Fort Collins, CO · On-site

$102K - $146K/yr

... data science is immediate, measurable, and high-stakes. By building intelligent models for risk ... In a fintech environment where trust, speed, and compliance are critical, this role ensures that ...

Data Scientist AI/ML

Fort Collins, CO · On-site

$102K - $146K/yr

... data science is immediate, measurable, and high-stakes. By building intelligent models for risk ... In a fintech environment where trust, speed, and compliance are critical, this role ensures that ...

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 ...

Relevant experience must be in designing/implementing machine learning, data science, advanced ... We're proud to offer a work environment that empowers our team to achieve a strong work-life ...

Data Scientist 3

Colorado Springs, CO · On-site

$155K - $185K/yr

Relevant experience must be in designing/implementing machine learning, data science, advanced ... We're proud to offer a work environment that empowers our team to achieve a strong work-life ...

Strong applied data science background, including optimization, forecasting, or prescriptive analytics in a business environment Proficient Python development skills with experience supporting or ...

... environments • collaborate closely with product managers, full-stack developers, platform ... science, machine learning engineering, or data pipeline development. • Proficient in Python, SQL ...

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

Data Scientist

Aurora, CO · Hybrid

$75K - $150K/yr

... Science fields. As we continue to grow at a rapid pace, we are seeking some amazing new ... An ability to work effectively within a fast paced and dynamic environment. * An awareness and keen ...

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Showing results 1-20

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 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:
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.
Senior Data Science Analyst - OptimusAI

Senior Data Science Analyst - OptimusAI

McKinsey & Company

Denver, CO • On-site

$110K/yr

Full-time

Posted 2 days ago


McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

15th of 57 rated business consultants


Job description

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place.
YOUR IMPACT
As an OptimusAI Senior Data Science Analyst, you will help leading companies across the Energy and Materials sector unlock their full productivity potential using AI.
Collaborating in a dynamic, multi-disciplinary team of 3-6 experts, you will use your creativity and analytics expertise to enhance client performance in areas such as energy efficiency, product quality, and capacity. You will be working side-by-side with the client's process engineers and analytics specialists and will be communicating your work to executive audiences.
Internally, you will collaborate with our talented product engineers to develop innovative products and algorithms to address current and future client needs. You will help codify best practices, radiate our impact in/externally and shape the product roadmap.
Along the way, you will benefit from world-class training in business problem structuring and client advisory, while working closely with senior manufacturing and analytics experts. You will experience unparalleled career growth with significant ownership and responsibility from day one, all within a collaborative, diverse, and non-hierarchical environment. You can seize the opportunity to travel to client sites, locally and around the world.
Please submit a cover letter detailing why you are the perfect fit for our team and how you can contribute to our mission!
You will be based in our Houston or Denver office as part of McKinsey's manufacturing AI solution (OptimusAI), which sits at the intersection of three practices.
Global Energy and Materials advises production and investor companies across chemicals & agriculture, paper & packaging, metals & mining, oil & gas, and power generation on strategic, operational, and growth issues.
QuantumBlack, AI by McKinsey, is the AI arm of our firm which helps clients transform faster, innovate smart, and anticipate the future.
Finally, the Operations Practice which assists our clients in solving complex operational challenges by developing and implementing operational strategies, initiatives, and solutions for their most critical problems, connecting boardroom strategies to the shop floor operators.
At the intersection of these groups, OptimusAI is a team of ~10 expert consultants, data scientists and engineers, focused on improving processing plant productivity through data analytics.
We develop real-time AI advisory systems to support decision making in the plant control room, we assess and optimize process control systems, and we unlock plant bottlenecks through data-driven process changes.
OptimusAI supports a global community of consultants by developing an innovative machine learning toolkit and codifying the approach to deliver significant and lasting client impact.
There is flexibility to hire at the Senior Data Science Analyst or Data Science Specialist level, depending on your experience. Salary range $110,000-$110,000
YOUR GROWTH
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else.
When you join us, you will have:
  • Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  • A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  • Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  • World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS
  • Degree in a discipline such as computer science, applied statistics, mathematics, analytics, engineering, machine learning or equivalent
  • 3+ years of relevant professional experience in advanced analytics, ideally in the context of heavy industry
  • Ability to write clean and efficient code in Python; ideally with experience in using cloud computing resources (e.g., AWS, GCP, Azure)
  • Ability to apply and advise on state-of-the-art analytics, machine learning, and optimization techniques to derive business insights and solve complex problems
  • Excellent problem-solving skills paired with the ability to develop creative and effective solutions
  • Ability to thrive in a flexible, multi-disciplinary and agile working environment
  • Track record of completing projects successfully on time as per scope
  • Willingness to travel to other offices and/or client locations for short/long term assignments
  • Strong interpersonal communication skills; experience in facilitating discussions with leadership

Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

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