Data Scientist Jobs in Colorado
Data Scientist jobs in Colorado concentrate in aerospace and defense, financial technology, health informatics, and government contracting, with the state ranking among the most active markets in the Mountain West for analytical talent at every level from entry-level associate to principal and staff scientist. Denver, Boulder, and Colorado Springs account for the largest share of openings, anchored by employers such as Lockheed Martin, Centura Health, and Charles Schwab. Machine learning engineering, natural language processing, and health data analytics are the most in-demand specialties across the state. Find a role that fits below and apply directly.
Find Data Scientist JobsOverview
Showing 5 of 39+ Data Scientist jobs











Job Description
Position Summary:
CEMML is a research, education and service unit within the Warner College of Natural Resources at Colorado State University (CSU). CEMML applies the latest and most appropriate science to promote the sustainable management of natural and cultural resources on Department of Defense (DoD) and other public lands. We provide technical support, conduct applied research, and offer career development and learning opportunities to support resource stewardship. We collaborate with our sponsors and within CSU to resolve complex environmental issues, leaving a legacy of science-based decisions that sustain our resources for future generations.
To learn more about CEMML’s contributions to land management, our mission, vision, and values, visit http://www.cemml.colostate.edu/.
For any questions regarding this position, contact Tim Schommer, tim.schommer@colostate.edu.
Location:
This role supports several Southern networks and may be based in one of the locations listed below. Please indicate your preferred location during the application process. We encourage you to choose the site that best aligns with your personal and professional goals.
- Athens, GA
- Lafayette, LA Fort Collins, CO
Remote work may be an option in certain cases. If you're interested in this arrangement, we encourage you to share your reasons during the application process. To ensure success in a remote setting, candidates should have a stable internet connection and be available during the host network’s core working hours.
The Center for Environmental Management of Military Lands (CEMML) at CSU is seeking applicants to work with the National Park Service (NPS), Inventory and Monitoring Division as assistant data managers/data scientists to coordinate and participate in a team focused on many aspects of the data life cycle. The position will assist with data management activities across 2-3 network offices and will work a full time 40 hour/week schedule.
Duration of the position is expected to last approximately two years. Actual length of service will depend on specific technical needs of the office, funding, and applicant performance. Official administration of the position will be from CEMML. Work may include travel to network offices across the country.
This position will assist Inventory & Monitoring Division staff in creating and maintaining the tools that are used to collect, manage, visualize, and publish data collected by the program, with a special emphasis on the data publication process. These data relate to a diverse list of topics and may include hydrology, vegetation, large mammals, climate, birds, and more. Data collection assistance could involve designing and entering data in data collection apps such as ESRI Survey 123 and Field Maps. Data management tasks include writing scripts to look for data quality issues, automating tasks, and preparing metadata. Visualizing data includes creating graphs and other visualizations in R, Power BI, AGOL dashboards and other approved platforms. Data publication tasks include creating scripts to generate EML metadata, machine readable datasets, and reports using tools such as R, R Markdown and Python.
Essential Job Duties:
Data Visualization
- Visualizing data includes creating graphs and other visualizations in R, Python, and dashboards.
Team Membership
- Represent NPS and CSU during work travel.
- Interact as a positive team member contributing to network and Divisional goals.
Data Management
- Author and update metadata to describe data content and products.
- Perform data quality assurance and quality control, including data entry validation, data integrity, review, correction, and documentation.
- Create and upload data packages and other products to the NPS DataStore repository.
- Data publication tasks include creating scripts to generate EML metadata, machine readable datasets, and reports using tools such as R, R Markdown and Python.
Database Management
- Navigate, manage/maintain, and create relational databases.
Documentation
- Document and maintain data management workflows, manuals and instructional materials, scripts, user guides, and standard operating procedures. Assist in preparing and delivering project status updates for various NPS teams and communities.
Conditions of Employment:
- Pre-employment Criminal Background Check (required for new hires).
- Required to complete a federal background investigation (NACI) , which must be adjudicated favorably to begin working.
- Must have a valid driver’s license or the ability to obtain a driver’s license by employment start date. Legally authorized to work in the U.S. by the proposed start date; CEMML will not provide visa sponsorship for this position.
Supervision:
NoneMinimum Qualifications:
- BS or BA degree in computer science, information technology, geographic information systems, geography, biology, ecology, environmental science, or a related field.
- Experience programming in the R statistical computing software or Python.
- Experience creating metadata, conducting QA/QC of ecological inventory & monitoring data, and documenting procedures to meet open data/open science requirements.
- Strong communication skills when working with various external and internal partners. Experience creating data visualization and data dashboards.
Preferred Qualifications:
- One year of related work experience.
- Experience using and managing relational databases (Access, SQL Server).
- Experience utilizing geospatial data and GIS (ArcGIS Pro and ArcGIS Online).
- Experience working in natural resources or with ecological data.
- Demonstrated verbal and written communication skills to communicate and document workflow status and process with program staff.
- Demonstrated ability to ascertain the essence of an issue and effectively collaborate in a professional manner with an interdisciplinary team of data managers, ecologists, and park staff to develop and implement solutions.
- Self-motivated with acute attention to detail.
- Experience working in a collaborative environment.
- Experience working in a highly structured organization.
Salary Range
$61,111-$68,138Required Application Documents
To apply, please upload the following applicant documents. Ensure your materials fully address the required and preferred job qualifications of the position. Please note, applicants may redact information from their application materials that identifies their age, date of birth, or dates of attendance at or graduation from an educational institution.
Cover Letter, Resume/CVEmployee Benefits
Colorado State University is not just a workplace; it’s a thriving community that’s transforming lives and improving the human condition through world-class teaching, research, and service. With a robust benefits package, collaborative atmosphere, and focus on work-life balance, CSU is where you can thrive, grow, and make a lasting impact.
Background Check Policy Statement
Colorado State University strives to provide a safe study, work, and living environment for its faculty, staff, volunteers and students. To support this environment and comply with applicable laws and regulations, CSU conducts background checks for the finalist before a final offer. The type of background check conducted varies by position and can include, but is not limited to, criminal history, sex offender registry, motor vehicle history, financial history, and/or education verification. Background checks will also be conducted when required by law or contract and when, in the discretion of the University, it is reasonable and prudent to do so.
EEO
Colorado State University (CSU) provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
See All 39 Data Scientist Jobs in Colorado
Find roles in Colorado that match your experience and apply in just a few clicks.
Find Data Scientist JobsData Scientist Jobs by City in Colorado
Where Colorado roles are concentrated, by current openings.
Data Scientist Job Market in Colorado
A snapshot from current Colorado openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Technology & Software
- Law & Legal Services
- Consulting & Professional Services
What Colorado Employers Look For
The qualifications that appear most often in data scientist jobs across Colorado.
- Bachelor's or master's degree in statistics, computer science, mathematics, or a directly related field
- Proficiency in Python or R for data manipulation, modeling, and analysis
- Experience building and deploying machine learning models in a production environment
- Ability to query and manage large datasets using SQL or cloud data platforms
- Strong communication skills for presenting findings to non-technical stakeholders
- Familiarity with cloud environments such as AWS, Google Cloud, or Microsoft Azure
Data Scientist Jobs in Colorado: Frequently Asked Questions
How do you become a data scientist in Colorado?
Colorado has no state-issued license or registration required to work as a data scientist, so the path runs through education and demonstrated technical skill. Most Colorado employers expect at least a bachelor's degree in a quantitative field such as statistics, computer science, or applied mathematics, with a master's degree preferred for senior roles. Building a portfolio of projects, contributing to open-source work, and earning cloud or machine learning certifications strengthen a candidacy significantly in this market.
How much do data scientists make in Colorado?
Data scientists in Colorado earn a median of about $117,400 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $74,470 for the lowest 10% to over $189,630 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data scientists in Colorado?
Colorado data scientist roles are posted by Booz Allen Hamilton, Vantor, and Angi and others right now, based on current listings on Migrate Mate as of September 2026. Colorado's mix of aerospace contractors, large hospital networks, financial services firms, and federal agencies creates a diverse employer base that hires data scientists across a wide range of domains.
Which Colorado cities have the most data scientist jobs?
Denver, Colorado Springs, and Aurora account for the most data scientist openings in Colorado. Denver drives volume through its concentration of financial technology, healthcare, and professional services firms, while Boulder's strong university and startup ecosystem generates consistent demand, and Colorado Springs reflects activity from defense contractors and government-adjacent technology employers operating near military installations.
Are there remote data scientist jobs in Colorado?
Yes, and more than most fields. Data science is desk-based and software-driven by nature, making it well suited to distributed work arrangements. About 50% of data scientist openings tied to Colorado are remote or hybrid as of September 2026, reflecting the role's strong compatibility with flexible work. Modeling, analysis, and reporting tasks translate most readily to fully remote arrangements, while roles involving real-time operational systems or on-site stakeholder collaboration tend to require some in-person presence.
How can I get hired as a data scientist in Colorado with little or no experience?
The most realistic entry path is securing an analyst or data associate role at a Colorado employer and building toward a data scientist title from within. Large Colorado health systems such as UCHealth and SCL Health, along with aerospace employers like Raytheon and Northrop Grumman's Colorado divisions, run internship and new-grad programs that provide structured exposure to production data environments. Moving laterally from a business analyst or statistical analyst position is a common internal pathway. A strong portfolio of independent or academic projects, along with a cloud certification, gives entry-level candidates a measurable edge in this market.
Where can I find and apply to data scientist jobs in Colorado?
You can find and apply to data scientist jobs in Colorado on Migrate Mate, which lists current Colorado openings updated in real time. Search the listings by location or specialty to narrow results to roles that match your background and experience level. Find a role that fits and apply directly.
See All 39 Data Scientist Jobs in Colorado
Find roles in Colorado that match your experience and apply in just a few clicks.
Find Data Scientist Jobs