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Economics Data Science Jobs in Colorado (NOW HIRING)

Modivcare, Inc.

Data Insights Analyst II

Denver, CO · On-site

$67K - $86K/yr

Bachelor's degree in Data Science, Statistics, Business Analytics, Computer Science, Economics, or a related field. * Experience : 3+ years of experience in data analysis, business intelligence, or a ...

Cliftonlarsonallen

Data Analyst Senior

Denver, CO · On-site +1

$107K - $155K/yr

Degree in Business, Accounting, Finance, Economics, Analytics, or Data Science is preferred. Our approach to compensation emphasizes collaboration and career growth. We pay competitive wages and view ...

Choice Digital

Data Analyst

Broomfield, CO · On-site

$70K - $90K/yr

We do not trade trust for speed, convenience, or short-term economics. Position Overview We are ... Bachelor's degree in Data Science, Finance, Accounting, Statistics, or related field (or equivalent ...

U.S. Department of Defense (DOD)

Economist

Aurora, CO

$74K/yr

... data, identify significant factors, and recommend a solution from a number of possible alternatives. 3. Knowledge of applied economics methods, quantitative social science, statistics, and / or ...

U.S. Department of Defense (DOD)

$74K/yr

... data, identify significant factors, and recommend a solution from a number of possible alternatives. 3. Knowledge of applied economics methods, quantitative social science, statistics, and / or ...

US Department of the Air Force

CO · On-site

$74K/yr

... data, identify significant factors, and recommend a solution from a number of possible alternatives. 3. Knowledge of applied economics methods, quantitative social science, statistics, and / or ...

US Department of the Air Force

$74K/yr

... data, identify significant factors, and recommend a solution from a number of possible alternatives. 3. Knowledge of applied economics methods, quantitative social science, statistics, and / or ...

US Department of the Air Force

Economist

Aurora, CO · On-site

$74K/yr

... data, identify significant factors, and recommend a solution from a number of possible alternatives. 3. Knowledge of applied economics methods, quantitative social science, statistics, and / or ...

U.S. Department of Defense (DOD)

CO · On-site

$74K/yr

... data, identify significant factors, and recommend a solution from a number of possible alternatives. 3. Knowledge of applied economics methods, quantitative social science, statistics, and / or ...

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All JobsEconomics Data Science JobsEconomics Data Science Jobs in Colorado

Economics Data Science information

See Colorado salary details

$43.6K

$149.8K

$211.4K

How much do economics data science jobs pay per year?

As of Aug 17, 2026, the average yearly pay for economics data science in Colorado is $149,800.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,600.00 and $175,100.00 per year, depending on experience, location, and employer.

What are common projects or responsibilities for professionals in economics data science roles?

Economics Data Science professionals often work on projects that involve economic modeling, market analysis, and forecasting trends using large datasets. Typical responsibilities include gathering and cleaning economic data, developing predictive models, conducting statistical analyses, and translating results into actionable recommendations for business strategy or policy decisions. You may collaborate closely with economists, business analysts, and decision-makers to inform company direction or solve complex real-world problems. This role often involves a mix of independent data exploration and teamwork, offering opportunities to drive impactful results and shape organizational strategy.

What are the key skills and qualifications needed to thrive in economics data science, and why are they important?

To thrive in Economics Data Science, you need a strong background in economics, statistics, and programming (especially Python or R), often backed by a degree in economics, data science, or a related field. Proficiency with data analysis tools such as SQL, machine learning frameworks, and visualization software like Tableau is commonly required, and certifications in data science or analytics are advantageous. Excellent problem-solving abilities, communication skills, and a collaborative mindset help distinguish top performers in this position. These skills are crucial for effectively analyzing economic data, generating actionable insights, and conveying complex findings to both technical and non-technical stakeholders.

What is an economics data science?

An Economics Data Science job combines economic theory, statistical analysis, and machine learning to interpret complex data and inform decision-making. Professionals in this field work with large datasets to analyze market trends, forecast economic conditions, and optimize business strategies. They commonly use programming languages like Python or R and tools such as SQL and econometric models. This role is valuable in industries like finance, government, and tech, where data-driven economic insights are crucial.

What are the most commonly searched types of Economics Data Science jobs in Colorado?

The most popular types of Economics Data Science jobs in Colorado are:

What are popular job titles related to Economics Data Science jobs in Colorado?

For Economics Data Science jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Economics Data Science jobs in Colorado look for?

The top searched job categories for Economics Data Science jobs in Colorado are:

What cities in Colorado are hiring for Economics Data Science jobs?

Cities in Colorado with the most Economics Data Science job openings:

Economics Data Science jobs near you
Infographic showing various Economics Data Science job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $149,800 per year, or $72 per hour.

Data Scientist (Colorado)

Kestrel Intelligence

Colorado Springs, CO

Full-time

Re-posted 6 days ago

Job description

The Mission
At Kestrel, we are building the future of scalable autonomy across domains. Our systems enable commercial and national security customers to sense and act in support of complex missions without significant autonomous system expertise. This technology bridges domains (e.g., space, air, land, sea) and fields (e.g., AI, orbital dynamics, geospatial), requiring a team that has both breadth and depth in these related topics.

The Role
We are looking for an individual contributor to architect and deploy production-grade subsystems that power our cutting-edge products for both commercial clients and critical national security missions. As a Kestrel Data Scientist, you will lead the development of high-fidelity data processing pipelines, traditional AI/ML models, and wrapping them into tools for next-generation Agentic AI. You will work at the bleeding edge of geospatial science. This role requires adaptability, engineering rigor, and a deep respect for the mission.

Core Responsibilities:
- Architecture: Lead the end-to-end creation of production-ready AI/ML and agentic subsystems.
- Geospatial Engineering: Build robust preprocessing pipelines for raster and vector data (using GDAL, SNAP, rasterio, PostGIS).
- Innovation: Integrate emerging technologies, from Geospatial Foundation Models (GeoFMs) to autonomous route planning, into a cohesive operational picture.

You Must Be:

A master of foundational geospatial: Proven experience building geospatial data preprocessing pipelines (raster and vector) using the modern geospatial stack (GDAL, SNAP, rasterio, PostGIS, etc.).

A specialist: You must have production-grade experience in at least two (2) of the following domains:
- Traditional GeoAI/ML: Object detection/land classification (scikit, OpenCV, etc.).
- Geospatial Foundation Models: Utilizing GeoFMs like AlphaEarth, Prithvi, or Clay.
- SAR & Interferometry: Pipeline development (e.g., isce2).
- Hyperspectral Imaging: Processing (e.g., SPy).
- RF Propagation: Modeling signal data (e.g., CloudRF).
- Digital Elevation Models: Handling DEM in multiple formats (e.g., DTED).
- Autonomous Systems: Route planning for unmanned systems (e.g., Auterion, ArduPilot).
- Optimization: Complex scheduling for satellite constellations or aircraft.
- Economics: Models for resource allocation such as auction, bidding, pricing, waiting.

Must be a US Citizen

Bonus:
- Based in the Colorado Springs, CO or Washington, DC (working in customer sites in Crystal City, VA and Herndon, VA) areas
- Active Top Secret // Specially Compartmented Information (TS//SCI) clearance with counterintelligence-scope polygraph (CSP) or full-scope polygraph (FSP)
 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.