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Economics Data Science Jobs (NOW HIRING)

Council for Community and Economic Research

Bachelor's degree (or higher), preferably in economics, data science, computer science, mathematics, or business. * Advanced analytical skills with experience collecting, cleaning, and analyzing ...

Awardco

Data Scientist

Lindon, UT · On-site

Bachelor's or Master's degree in Statistics, Computer Science, Economics, Data Science, or another quantitative field * 3-5 years of applied data science experience * Strong Python proficiency and ...

PNC Financial Services Group, Inc.

Bachelor's degree in a quantitative field such as mathematics, statistics, economics, data science, engineering, or a related discipline. Advanced degree preferred. * Experience in data science ...

Amazon

Data Scientist II, Device Economics

Sunnyvale, CA · On-site

Echo Family of Devices), working at the intersection of economic modeling, forecasting science, and ... data scientists, and applied scientists across Decision Science 3. Present results of analyses to ...

Amazon

Data Scientist II, Device Economics

Sunnyvale, CA · On-site

Echo Family of Devices), working at the intersection of economic modeling, forecasting science, and ... data scientists, and applied scientists across Decision Science 3. Present results of analyses to ...

Vangard, Inc.

Manager, Data Science

Philadelphia, PA · On-site

It applies advanced data science techniques to uncover trends from large datasets and inform strategic decisions across diverse business areas such as marketing, supply chain, and economic research.

Vangard, Inc.

Manager, Data Science

Charlotte, NC · On-site

It applies advanced data science techniques to uncover trends from large datasets and inform strategic decisions across diverse business areas such as marketing, supply chain, and economic research.

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How much do economics data science jobs pay per year?

As of Sep 11, 2026, the average yearly pay for economics data science in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 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.

More about Economics Data Science jobs

What cities are hiring for Economics Data Science jobs?

Cities with the most Economics Data Science job openings:

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

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What states have the most Economics Data Science jobs?

States with the most job openings for Economics Data Science jobs include:

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Economics Data Science jobs near you
Infographic showing various Economics Data Science job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Economic Analyst

Sioux Falls, SD • On-site

Council for Community and Economic Research
See more jobs at Council for Community and Economic Researchexternal

Other

Posted 7 days ago

Job description

The Dakota Institute conducts independent economic research and advisory work for organizations throughout South Dakota and the Northern Plains. Our engagements include statewide economic impact studies, fiscal feasibility analysis for municipalities and development projects, and research and consulting services for foundations, public institutions, and industry organizations.

As an analyst, you’ll work on projects from end-to-end — from initial data collection to the final deliverable — working closely with leadership and directly with the clients who use the work. The scope of the role is unusually wide for an analyst position.

We’re looking for someone with a strong technical background, the judgment to structure an analysis independently, and the ability to communicate findings clearly to technical and non-technical audiences alike.

Objectives and Responsibilities
  • Analyze economic data to identify trends and opportunities relevant to policymakers, business leaders, and clients.
  • Write research reports, including data tables and visualizations, that clients and stakeholders use to make decisions.
  • Build and maintain the workflows and processes behind our data collection, analysis, and reporting.
  • Develop and maintain public dashboards tracking economic conditions in the state and region.
  • Collect and update various datasets on a regular basis.
Required skills and qualifications
  • Bachelor’s degree (or higher), preferably in economics, data science, computer science, mathematics, or business.
  • Advanced analytical skills with experience collecting, cleaning, and analyzing complex data using appropriate software tools.
  • Exceptional verbal and written communication skills.
Preferred skills and qualifications
  • Two or more years’ experience in applied data analysis and research writing.
  • Proficiency with data analysis tools such as R (preferred), Python, or Stata.
  • Experience with economic impact modeling software such as REMI and IMPLAN.
  • Experience developing data visualizations using software such as R, Python, Tableau, or Power BI.
  • Familiarity with South Dakota’s economy, key industries, and policy environment.
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