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Senior Economics Data Science Jobs in Colorado (NOW HIRING)

Davita Inc.

Sr Data Scientist

Denver, CO · On-site

$115K - $183K/yr

This role involves leading complex data science projects focused on healthcare applications ... Present findings and recommendations to stakeholders, including healthcare professionals and senior ...

New

Walmart

(USA) Senior Manager, Data Science

Denver, CO · On-site

$132K - $264K/yr

The Senior Manager, Data Science leads advanced analytical initiatives to develop, validate, and ... Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science ...

Bet365

Senior Data Scientist

Denver, CO

As a Senior Data Scientist, you will accelerate our end-to-end machine learning lifecycle, building ... The data science team is at the forefront of driving business decisions; we are now scaling our ...

NuView

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

Bachelors Degree in Analytics, Economics, Mathematics, Computer Science or a related Field * 3-5 ... Ability to process data objectively and efficiently * Intellectually curious about new data tools ...

NuView Analytics

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

Bachelors Degree in Analytics, Economics, Mathematics, Computer Science or a related Field * 3-5 ... Ability to process data objectively and efficiently * Intellectually curious about new data tools ...

Hercules Industries

Data Scientist

Denver, CO · On-site

... senior leadership • Communicate complex concepts in clear business terms • Influence cross ... Required : • Bachelor's degree in data science, Statistics, Mathematics, Engineering, Economics ...

Thaloz

CO - Sr. Data Scientist - 229

Denver, CO · On-site

This hands-on senior role sits at the intersection of Data Science, Machine Learning, and Product. You will partner with Engineering, Product, Risk, and Finance to turn ambiguous problems into ...

Booz Allen Hamilton

Data Scientist, Senior

Aurora, CO · On-site

$99 - $225/hr

Work with us as we use data science for good. Join us. The world can't wait. You Have: * 8+ years ... Data Scientist, Senior The Opportunity: As a data scientist, you're excited at the prospect of ...

Booz Allen Hamilton

Senior Data Scientist

Aurora, CO · On-site

$99K - $225K/yr

R0246468 Data Scientist, Senior The Opportunity: As a data scientist, you're excited at the ... On our team, you'll use your leadership skills and data science expertise to create real-world ...

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All JobsEconomics Data Science JobsSenior Economics Data Science JobsSenior Economics Data Science Jobs in Colorado

Senior Economics Data Science information

What is a senior economics data scientist?

Senior Economics Data Scientists are experienced professionals who use advanced data analysis, statistical modeling, and economic theory to solve complex business and policy problems. They collect, process, and interpret large datasets to provide actionable insights, forecast trends, and inform decision-making at a strategic level. Typically, they work closely with interdisciplinary teams, lead research projects, and may mentor junior analysts. Their work often spans sectors such as finance, government, technology, and consulting, where data-driven economic insights are crucial.

What are the typical collaboration opportunities for a senior economics data scientist within a cross-functional team?

As a Senior Economics Data Science professional, you’ll frequently collaborate with economists, product managers, engineers, and business analysts. Your role will involve designing experiments, building predictive models, and translating complex economic insights into actionable strategies for stakeholders. You’ll often participate in cross-functional meetings to align on objectives, share data-driven findings, and help guide product or business decisions. This collaborative environment not only strengthens the impact of your work but also provides exposure to diverse perspectives and opportunities for career growth.

What are the key skills and qualifications needed to thrive as a senior economics data scientist, and why are they important?

To thrive as a Senior Economics Data Scientist, you need a strong background in economics, statistics, and data analysis, typically supported by an advanced degree (e.g., MS or PhD) in economics, statistics, or a related field. Proficiency with programming languages such as Python or R, experience with statistical modeling tools, and familiarity with databases like SQL are essential, along with knowledge of machine learning frameworks. Strong communication, problem-solving abilities, and collaboration skills help translate complex data insights into actionable business recommendations. These skills are crucial for driving data-driven decision-making and delivering impactful economic analysis in a business environment.

What is the difference between Senior Economics Data Science vs Data Analyst?

AspectSenior Economics Data ScienceData Analyst
Required CredentialsMaster's or PhD in Economics, Data Science, or related fieldBachelor's degree in Economics, Statistics, or related field
Work EnvironmentAdvanced analytics, modeling, economic research, cross-functional teamsData collection, reporting, basic analysis, business support
Employer & Industry UsageFinancial services, consulting, tech, government agenciesRetail, marketing, healthcare, finance

Senior Economics Data Science roles focus on complex economic modeling, predictive analytics, and strategic insights, often requiring advanced degrees. Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles work with data, Senior Economics Data Scientists engage in more sophisticated modeling and economic research, whereas Data Analysts focus on data interpretation and reporting.

What can you do with a senior economics data science degree?

A senior economics data science degree prepares individuals for roles such as data analyst, economic analyst, or quantitative researcher, where they analyze economic data, develop models, and inform decision-making. Skills in statistical software, programming, and economic theory are essential, and positions often require strong analytical and communication abilities.

What jobs can I get with senior economics data science?

With a senior economics data science background, you can pursue roles such as data scientist, economic analyst, quantitative analyst, or policy analyst. These positions typically require strong skills in statistical analysis, programming (e.g., Python, R), and economic modeling, often within finance, government, consulting, or research organizations.

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

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

Senior Economics Data Science jobs near you

Economic Modeling Analyst

WESTWOOD PROFESSIONAL SERVICES INC

Westminster, CO • On-site

$126K - $135K/yr

Full-time

Posted 2 days ago

New

Westwood Professional Services rating

8.6

Company rating: 8.6 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

102nd of 449 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.

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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