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Environmental Data Science Jobs in Colorado (NOW HIRING)

Environmental Data Scientist

Boulder, CO

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong environmental and data science background, with the ability to reason about how ... environmental evidence should be represented and combined. * Proficiency in a data science language ...

Environmental Data Scientist

Boulder, CO · On-site

$75K - $105K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Lynker Corporation is a leading provider of innovative solutions in weather and climate science ... Duties of the Environmental Data Scientist will include the following: * Data organization ...

Environmental Data Scientist

Boulder, CO · On-site +1

$75K - $105K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong environmental and data science background, with the ability to reason about how ... environmental evidence should be represented and combined. * Proficiency in a data science language ...

Manager, Data Science

Denver, CO · On-site

$158K - $185K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Ibotta is looking for a Manager, Data Science to join our fast growing team! This role will build ... Excels in a fast-paced environment with the capability to prioritize effectively * Industry ...

... 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 ...

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 ...

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 ...

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 ...

Data Scientist

Colorado Springs, CO · On-site

$155 - $190/hr

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 ...

Data Scientist

Colorado Springs, CO · On-site

$155 - $190/hr

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 ...

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 ...

Data Scientist, NA

Denver, CO

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... in flexible environments that can scale as quickly as the market demands. Strategy and ... Essential Job Functions Data Science Strategy & Model Development * Develop predictive and ...

Data Scientist, NA

Denver, CO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... in flexible environments that can scale as quickly as the market demands. Strategy and ... Essential Job Functions Data Science Strategy & Model Development * Develop predictive and ...

Data Scientist, NA

Denver, CO · On-site

$140 - $150/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... in flexible environments that can scale as quickly as the market demands.**Strategy and ... Data Science Strategy & Model Development*** Develop predictive and prescriptive models that ...

(USA) Senior Manager, Data Science

Denver, CO

$132K - $264K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Oversee deployment and continuous monitoring of models in production environments to ensure optimal ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

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 ...

Environmental Field Scientist II

Wheat Ridge, CO

$32 - $39/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Lead with Science. Deliver Environmental Solutions. Pay: $34.00 - $39.00 per hour Position Type ... Interpret environmental data to support project recommendations and regulatory requirements

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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 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 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 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.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Job description

Overview

Lynker Corporation is a leading provider of innovative solutions in weather and climate science. With a commitment to excellence and a passion for innovation, Lynker leverages cutting-edge technologies and scientific expertise to support the creation and delivery of improved operational weather forecasts. As part of our ongoing growth and expansion, we are seeking a dynamic and experienced Environmental Data Scientist to join our growing team.

Responsibilities

Duties of the Environmental Data Scientist will include the following:

  • Data organization: organize, catalog, and structure heterogeneous environmental and geospatial datasets using consistent metadata and controlled vocabularies, with clear provenance, so they can be combined consistently and reproducibly.
  • Analytical logic: help define how rules and analytical logic are represented, versioned, and evaluated against layered datasets, with traceable analytical lineage from inputs to results.
  • Data product design: define what analytical inputs and outputs should contain, including data, results, and metadata, the schemas that represent them, and how those schemas evolve over time.
  • Domain reasoning: bring environmental and hydrologic domain knowledge to bear on how data is weighted, interpreted, and encoded into rules.
  • Validation & QA: develop checks, test cases, and validation logic to confirm that rules produce correct, explainable, and consistent results.
  • Documentation & collaboration: document data schemas, analytical logic, and data sources; collaborate across the Science, Engineering, and Platform teams to keep the system understandable, accessible, and maintainable.
Qualifications

The Environmental Data Scientist selected should have the following:

  • Master's in environmental science, ecosystem science, water resources, hydrology, earth science, environmental data science, or a related field; or a Bachelor's plus 2 years applying data science to environmental problems; or equivalent hands-on experience.
  • Strong environmental and data science background, with the ability to reason about how environmental evidence should be represented and combined.
  • Proficiency in a data science language such as R or Python for data wrangling, analysis, and modeling.
  • A working sense of geospatial data science, including experience with GIS tooling and spatial datasets (e.g., R, ArcGIS, QGIS, Google Earth Engine).
  • Comfort thinking structurally about data schemas, inputs, and outputs, and translating domain logic into clear, testable rules.
  • Strong technical and scientific writing skills.

The Ideal Environmental Data Scientist will have the following:

  • Experience designing data schemas, structured formats, or APIs, and defining inputs and outputs for downstream consumers.
  • Familiarity with rules-based or decision-support systems and how to make their logic transparent and explainable.
  • Experience integrating multiple public and agency data sources (e.g., USGS, NOAA, PRISM) for watershed or environmental analysis.
  • Exposure to machine learning or statistical modeling applied to environmental data.
  • Track record of scientific writing, publication, or open-source contribution.
  • Colorado Front Range presence for periodic in-person collaboration.

About Lynker

Lynker is a growing, employee owned business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.

We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities - creatively and effectively.

Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker's benefits include the following:

  • Comprehensive healthcare for the employee at no monthly cost
  • Healthcare benefit covers medical, prescription drug, dental, and vision
  • Personal Time Off (PTO) Policy plus paid holidays
  • Highly competitive compensation plan regularly calibrated against industry and location benchmarks
  • 401(k) retirement plan with company-matching
  • Employee Stock Ownership Plan (ESOP) - we're all company owners!
  • Flexible spending accounts
  • Employee assistance program (EAP)
  • Short- and long-term disability insurance
  • Life and accident insurance
  • Tuition assistance/Training/Workforce improvement reimbursement per year
  • Spot bonuses for exceptional performance
  • Annual Employee Recognition Awards with bonuses
  • Employee Referral Program
  • Free centralized, self-directed Learning Management System to learn at your own pace
  • Personalized career growth plans for every employee

Lynker is an E-Verify employer.

Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.

  Employment Type: FULL_TIME