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Economics Data Science Jobs in Colorado (NOW HIRING)

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

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 ...

New

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 ...

Data Scientist

Denver, CO · On-site

$96K - $121K/yr

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, or equivalent experience * 4+ years of experience with programming languages, like Python or R ...

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 ...

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 ...

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

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

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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Showing results 1-20

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 Jul 26, 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.

Can economics majors work in data science?

Economics majors can work in data science roles, as their training in economic theory, statistical analysis, and quantitative methods provides a strong foundation. Success often depends on acquiring skills in programming languages like Python or R, data manipulation, and machine learning tools. Many data science positions value interdisciplinary knowledge, making economics a relevant background for analyzing and interpreting complex data sets.

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 is economics data science?

Economics data science is a field that combines economic theory with data analysis and statistical methods to understand and solve economic problems. Professionals in this area use tools like Python, R, and econometrics to analyze large datasets, forecast trends, and inform policy or business decisions.

What are the key skills and qualifications needed to thrive in the Economics Data Science position, 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.

Is 40 too late for data science?

Economics Data Science is a field that values skills and experience over age; many professionals transition into data science later in their careers. Gaining proficiency in programming languages like Python or R, along with statistical knowledge, can facilitate entry regardless of age, and continuous learning is common in the industry.

What jobs can I get with data science and economics?

With a background in data science and economics, you can pursue roles such as economic analyst, data scientist, financial analyst, policy analyst, or market researcher. These positions often require skills in statistical analysis, programming (e.g., Python, R), and understanding economic principles to analyze data and inform decision-making.

What is an Economics Data Science job?

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 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 cities in Colorado are hiring for Economics Data Science jobs? Cities in Colorado with the most Economics Data Science job openings:
Infographic showing various Economics Data Science job openings in Colorado as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $149,800 per year, or $72 per hour.
Data Scientist - Clearance Required

Data Scientist - Clearance Required

LMI

Colorado Springs, CO

$79K - $130K/yr

Full-time

Posted 11 days ago


Job description

LMI is actively seeking a dynamic, Mid-level Data Scientist to join LMI’s Space Market data scientist team in Colorado Springs, CO. This role involves working directly with USSF and US Government customers, as well as analytical partners, to drive the development of responsive, high-performance user interfaces within LMI’s Modeling, Simulation, Prototyping, Wargaming, & Analysis platform, RAPTR®.

The ideal candidate is passionate about Space and interested in using data science skills to help guide USSF into the future. In this role, you will join the data science team to analyze simulations of USSF portfolios, to include supporting Guardian training. You will be an active contributor in the data science team to create robust analysis pipelines. You’ll work with our high-tech customers to understand their technology, investment, performance, resilience, and policy questions and use this insight to craft high-performance analytical pipelines for use in workstation, server, and cloud deployment environments. 

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.


  • Collaborate with an integrated team of data scientists, data analysts, and functional SMEs to develop analytical requirements, identify key data elements, adhere to data protection guidelines, and interpret and communicate analytic results
  • Lead data science related taskings in direct support of customer requirements
  • Identify, propose, and lead in the development of future analytics products based on the data pipeline to assist customers in gaining value from the data products.
  • Understand and analyze complex datasets
  • Define and develop techniques to integrate, consolidate, and structure data for analytical use
  • Lead the maturation of data quality
  • Transform data and analysis into informative visualizations and interactive dashboards
  • Provide regular detailed reporting to management and briefings to USSF customers
  • Advise on the interpretation and use of data analysis products, dashboards, and reports to non-technical customers

Required:

  • Bachelor’s degree in science, engineering, mathematics, computer science, economics, data analytics, or other related business or quantitative discipline with 2-5 years of experience (1-4 years with Master’s degree) in data science.
  • 2+ years experience with data science/analysis coding languages like SQL, Python, or R with agile development methodologies
  • Proficiency in either SQL (e.g., MySQL, PostgreSQL) or NoSQL (e.g., MongoDB) databases.
  • Proficiency in developing dashboards using Tableau, Qlik, Power BI, RShiny, plotly, or d3.js
  • Experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics.
  • Experience with version control software e.g Git
  • Self-starter with the vision to independently identify opportunities for improvement through data analytics
  • Ability to work in teams and independently
  • Excellent communication skills, written and oral
  • Innovative problem-solving skills and ability to thrive in a fast-paced environment
  • Active TS with SCI eligibility is required. TS/SCI is preferred. 

Desired:

  • Advanced degree in Computer Science or related field.
  • Experience using python libraries to build machine learning models like regression models and decision trees
  • Passionate desire to make the joint warfighter world a better place with cost-effective, performant space architectures which enable operations and mission success
  • Space domain experience and familiarity with space-focused software solutions.
  • Possess a natural curiosity and desire to challenge yourself and those around you
  • Knowledge of cybersecurity best practices.
  • Active TS clearance with SCI eligibility or prior experience working on government-related projects

The target salary range for this position is $79,770-$130,987. 

The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances. 

#LI-SH1

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.


US-CO-Colorado Springs