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Entry Level Economics Data Science Jobs (NOW HIRING)

State Farm

Data Scientist

Tempe, AZ · Hybrid

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

State Farm

Data Scientist

Bloomington, IL · Hybrid

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

State Farm

Data Scientist

Bloomington, IL · Hybrid

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

State Farm

Data Scientist

Richardson, TX · Hybrid

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

State Farm

Data Scientist

Bloomington, IL · On-site

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

State Farm

Data Scientist

Dunwoody, GA · Hybrid

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

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 ...

SES

Financial Data Science Advisor

Reston, VA · On-site

The Finance - Data Science - Advisor role will offer you the flexibility to make each day your own ... Use advanced mathematical, analytical, or econometric tools to create algorithms and analyses that ...

Jobtailor

Data Science Intern

California, MO · On-site

Integrate internal data with external data sources and APIs to discover and implement actionable ... Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative ...

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Entry Level Economics Data Science information

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How much do entry level economics data science jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for entry level economics data science in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Economics Data Science vs Entry Level Data Analyst?

AspectEntry Level Economics Data ScienceEntry Level Data Analyst
Required CredentialsBachelor's in Economics, Data Science, or related field; knowledge of programming (Python, R)Bachelor's in Statistics, Business, or related field; basic data analysis skills
Work EnvironmentTech companies, finance, consulting; focus on economic modeling and predictive analyticsBusiness, marketing, finance; focus on data reporting and visualization
Employer & Industry UsageUsed in industries requiring economic insights and advanced analyticsCommon across various industries for operational and business insights

While both roles involve data analysis, Entry Level Economics Data Science emphasizes economic modeling and programming skills, often in tech or finance sectors. Entry Level Data Analysts focus more on data reporting and visualization across diverse industries. The choice depends on your interest in economics and programming versus general data reporting.

Can I get into data science with an entry level economics data science degree?

Entry-level economics data science degrees can provide a strong foundation for data science roles, especially when complemented with skills in programming languages like Python or R, and knowledge of statistical analysis. Employers often value practical experience, such as internships or projects, alongside relevant coursework. Certifications in data analysis or machine learning can also enhance job prospects in this field.

What jobs can I get with entry level economics data science?

Entry level economics data science graduates can pursue roles such as data analyst, economic analyst, research assistant, or business analyst. These positions typically require skills in statistical analysis, data visualization, and tools like Excel, SQL, or Python, and often involve working with economic data to support decision-making or policy development.

What cities are hiring for Entry Level Economics Data Science jobs?

Cities with the most Entry Level Economics Data Science job openings:

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

The most popular types of Economics Data Science jobs are:

Entry Level Economics Data Science jobs near you

Applied Economist / Data Science Research Analyst

University of Virginia

Charlottesville, VA • On-site

$60K - $80K/yr

Full-time

Posted 7 days ago

University Of Virginia rating

7.9

Company rating: 7.9 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

209th of 620 rated colleges and universities

Job description

The Weldon Cooper Center (CEPS) seeks an Applied Economist / Data Science Research Analyst with strong quantitative, programming, and data management skills to support applied policy work in regional economics, economic forecasting, and public-sector research. The position will also support the use of modern data science and AI-assisted methods to organize, classify, and extract information from large collections of documents and unstructured data for use in databases and economic modeling. The position is intended for an early-career professional who is interested in applying data science and economic analysis to real-world policy questions and who can grow into greater analytical independence over time.
We encourage recent graduates or early-career professionals with strong technical skills and demonstrated interest in applied economic or policy analysis to apply.
Responsibilities
• Support the development and maintenance of data pipelines, including data collection, automated data processing, and web scraping where appropriate.
• Clean, structure, validate, and integrate large and complex datasets from multiple sources.
  • Use programming, AI-assisted tools, and natural language processing approaches, where appropriate, to help organize, classify, and extract information from large collections of documents and unstructured data.

• Conduct exploratory data analysis, descriptive statistics, data validation checks, and preliminary diagnostics.
• Support applied economic modeling, including input-output analysis, regional economic analysis, local tax analysis, forecasting, and related quantitative methods.
• Prepare data visualizations, tables, maps, dashboards, and summary outputs to support reports and presentations.
• Contribute to internal databases, analytical tools, documentation, and reproducible workflows.
• Draft sections of reports, memos, and presentations and communicate findings clearly to academic, non-academic, and policy-relevant audiences.
Minimum Qualifications
  • Education: Bachelor's degree in economics, data science, public policy, statistics, computer science, or a related field required.

Preferred Qualifications
  • Experience with web scraping, APIs, or automated data collection.
  • Experience using AI-assisted tools, natural language processing, large language models, or related methods to process, classify, summarize, or structure text-based information.
  • Experience working with large collections of documents, public records, regulatory filings, reports, or other unstructured data sources.
  • Familiarity with tools such as IMPLAN, EViews, REMI, or similar.
  • Experience with GIS tools such as ArcGIS, QGIS, or similar.
  • Experience building data tools, dashboards, or visualization products.
  • Familiarity with Power BI, Tableau, Shiny, Dash, or similar visualization platforms.
  • Interest or experience in regional economic, energy or environmental policy is a plus.
  • Experience contributing to policy reports, academic research, technical documentation, or public-facing analytical products.

Knowledge, Skills & Abilities
  • Strong programming skills with Python, R, or a similar language.
  • Familiarity with AI-assisted workflows, natural language processing, large language models, or related tools for organizing and analyzing structured and unstructured data.
  • Experience with data cleaning, transformation, validation, and documentation.
  • Ability to conduct exploratory and descriptive data analysis.
  • Interest in applied economic methods, including input-output analysis, regional analysis, econometrics, or forecasting.
  • Strong written communication skills, including the ability to translate technical results into clear, policy-relevant insights.
  • Proficiency in Excel for data handling, validation, and review.
  • Ability to write clear, structured, and well-documented code.
  • Willingness to learn new methods, software, and project-specific tools under guidance.

Physical Demands
This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.
Salary Range
  • The anticipated hiring range is $60,000 - $80,000, commensurate with education and experience.

Position Type & Work Location
  • This is an exempt-level, benefited position. Learn more about UVA benefits .
  • This is a restricted position, which is dependent on funding and is contingent upon funding availability.
  • This position is based in Charlottesville, VA, and must be performed fully on-site.

About UVA and the Community
To learn more about UVA and in the Charlottesville area, visit UVA Life and Embark CVA .
Application Timeline
Application must be received by August 21, 2026.
Additional Requirements
  • Background checks will be conducted on all new hires prior to employment.

How to Apply
Please apply online , by searching for requisition number R0085962. Internal applicants may search and apply for jobs on the UVA Internal Careers website . Complete an application with the following documents:
  • Resume
  • Cover Letter

Upload all materials into the resume submission field. You can submit multiple documents into this one field or combine them into one PDF. Applications without all required documents will not receive consideration.
Reference Check Process
Reference checks will be completed by UVA's third-party partner, SkillSurvey, during the final phase of the interview. Five references will be requested, with at least three responses required.
Contact
  • For questions about the position, please contact Joao Pedro Ferreira, brn3wh@virginia.edu.
  • For questions about the application process, please contact Melanie Sponaugle, unw5dq@virginia.edu .

The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .

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About University of Virginia

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The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Charlottesville, VA, US

Year founded

1819

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