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Economics Data Science Jobs in Colorado (NOW HIRING)

CACI

Data Scientist

Colorado Springs, CO · On-site

Required Qualifications Bachelor's degree in data science, Statistics, Computer Science, Mathematics, Engineering, Operations Research, Economics, or another quantitative or analytical discipline. TS ...

ResolveSoft Inc

Data Analyst

Denver, CO · On-site

$65K - $85K/yr

Bachelor's degree in statistics, mathematics, economics, data science, or a related field. * 3+ years of post-baccalaureate professional experience performing data analysis or related work. * 1+ ...

Vizient

Senior Data Scientist

Englewood, CO · On-site

$102K - $179K/yr

... data science solutions across multiple projects and domains, translating analytical findings into actionable insights that improve clinical, operational, and economic outcomes. You will apply ...

Vizient, Inc.

Senior Data Scientist

Centennial, CO

$102K - $179K/yr

... data science solutions across multiple projects and domains, translating analytical findings into actionable insights that improve clinical, operational, and economic outcomes. You will apply ...

Vizient

Lead Data Scientist

Englewood, CO · On-site

You will guide data scientists, influence technical strategy, and ensure high-quality, scalable ... Advanced degree in applied mathematics, statistics, computer science, econometrics, or a related ...

Vizient, Inc.

Lead Data Scientist

Centennial, CO

You will guide data scientists, influence technical strategy, and ensure high-quality, scalable ... Advanced degree in applied mathematics, statistics, computer science, econometrics, or a related ...

Vizient, Inc.

Senior Data Scientist

Centennial, CO

$102K - $179K/yr

In this role, you will develop automated analytics products and advanced data science solutions that address complex business and client questions and improve clinical, operational, and economic ...

Vizient

Senior Data Scientist

Englewood, CO · On-site

$102K - $179K/yr

In this role, you will develop automated analytics products and advanced data science solutions that address complex business and client questions and improve clinical, operational, and economic ...

Fanatics Betting & Gaming

Data Scientist I

Denver, CO · On-site

We are seeking a Data Scientist I to join our growing Data Science organization on our newly formed ... Science, Economics. * Strong SQL proficiency and strong proficiency in Python, with experience ...

Evolve Vacation Rental

Staff Data Scientist

Denver, CO · On-site

Typically 8+ years applying data science, statistics, econometrics, or machine learning to consequential business problems. * Evidence of Staff-level scope: you have led ambiguous, cross-functional ...

Vizient, Inc.

Lead Data Scientist

Centennial, CO · On-site

Advanced degree in applied mathematics, statistics, computer science, econometrics, or a related field is a plus. 7 or more years of relevant experience required. Demonstrated expertise in data ...

Vizient

Lead Data Scientist

Englewood, CO · On-site

Advanced degree in applied mathematics, statistics, computer science, econometrics, or a related field is a plus. * 7 or more years of relevant experience required. * Demonstrated expertise in data ...

NuView

Data Analyst

Denver, CO · Remote

$80K - $100K/yr

Data integration * ETL Development Qualifications ... Bachelor's Degree in Analytics, Economics, Mathematics, Computer Science or a related Field * 1-3 ...

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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 Sep 3, 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 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 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 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, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $149,800 per year, or $72 per hour.

Economic Modeling Analyst

WESTWOOD PROFESSIONAL SERVICES INC

Westminster, CO

$126K - $135K/yr

Full-time

Posted 18 days ago

Westwood Professional Services rating

8.6

Company rating: 8.6 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

103rd of 452 rated engineering

Job description

Description

Westwood Professional Services, Inc is looking for an Economic Modeling Analyst to synthesize market trends and data, including financial metrics, to inform strategic and operational decisions across the organization. Collaborate with finance teams to develop forecasts and budgets; support business lines in project management; and assist HR in compensation planning and market expansion strategies. Conduct research and analysis on economic data and trends; produce forecasts, interpretive reports, and visual media for risk assessment, communication, and decision-making. Collect economic data from established datasets and other sources using data collection and data science protocols. Apply statistical analysis, mathematical methodologies, and modeling techniques to develop and refine data sets. Design and organize data into customized report models and graphical illustrations to present economic information for decision-making and solution development. Utilize Power BI Desktop and Power BI Report Builder software to visualize findings from economic data across multiple markets. Run descriptive analytic models using SQL on aggregated data from economic studies to generate insights. Provide predictive analytics on potential impacts to labor markets, such as those caused by weather events. Research and analyze HR data across different regions (e.g., parishes) to deliver analytics supporting market expansion initiatives. Employ DAX (Data Analysis Expressions) and MDX (Multidimensional Expressions) languages to prepare Power BI queries and measures for multiple business lines. Develop automated workflows using Power Automate and canvas applications with Power Apps to streamline business processes, data integration, and reporting efficiency. Optimize Power BI semantic models using Tabular Editor and DAX Studio to enhance performance, apply best practices, and troubleshoot complex measures. Participate in the creation of strategies for the Information Technology team; test new tools and processes to drive organizational initiatives.


  Applications are being accepted on an ongoing basis; however, this job posting may close at any time after 9/19/2026. 

Requirements

  • Bachelor's degree in Economics, Quantitative Economics, Data Science, or a closely related field and five (5) years of progressive experience in economic analysis, data modeling, or business intelligence roles, including hands-on work with data visualization and reporting tools or a Master's degree in Economics, Quantitative Economics, Data Science, or a closely related field and three (3) years in economic analysis, data modeling, or business intelligence roles, including hands-on work with data visualization and reporting tools, in lieu of the Bachelor's degree and five years of experience requirements.

Other experience must include: 

  • Custom development experience using Power BI Report Builder, Power BI Desktop, Power BI Service, Tabular Editor, DAX Studio, and SQL queries, including implementing row-level and object-level security. 
  • Proficiency in DAX (Data Analysis Expressions) for Power BI and MDX (Multidimensional Expressions) for Power Query. 
  • Building Power Automate flows to automate tasks and developing Power Apps canvas apps to collect data. 
  • Developing use cases, managing data, and generating insights through visualization.

Required Certifications: 

  • Microsoft Certified: Power BI Data Analyst Associate

Must have current authorization to be employed in the U.S. without employer sponsorship.

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