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Internship Data Science Economics Jobs in Ohio (NOW HIRING)

Bachelor's degree (Major in statistics, computer science, economics, engineering or similar quantitative field preferred) or equivalent experience. * 5+ years of professional experience as a data ...

We are looking for a Data Science Analyst who can not just report on performance, but also ... If you are a resident of the European Economic Area, Switzerland or the United Kingdom, you can ...

Data Scientist

Cincinnati, OH ยท On-site

$55 - $60/hr

Required Qualifications * 3+ years of applied Data Science experience. * Strong experience with causal inference, causal ML, econometrics, or experimentation. * Experience measuring treatment effects ...

Essentials: * Bachelor's degree in Data Science, Computer Science, Statistics, Economics, Information Systems, or a related quantitative field. * 3-5 years of practical experience in advanced ...

R&D Analyst III: * PhD degree in Statistics, Mathematics, Data Science, Economics, Operation Research or related quantitative and analytics fields. * In lieu of PhD degree: Master's degree in ...

Lead Data Scientist

Columbus, OH ยท On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or Economics * 8 - 10 years experience in building sophisticated models using machine learning, segmentation ...

Lead Data Scientist

Columbus, OH ยท On-site

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or Economics * 8 - 10 years experience in building sophisticated models using machine learning, segmentation ...

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Science, or Statistics/Math and Economics double major, or Statistics/Math and Computer Science ...

Data Scientist

Dayton, OH ยท On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Science, or Statistics/Math and Economics double major, or Statistics/Math and Computer Science ...

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Internship Data Science Economics information

What is an internship in data science economics?

An Internship in Data Science Economics is a temporary position that allows students or recent graduates to gain practical experience applying data science techniques to economic problems. Interns typically work on projects involving data analysis, statistical modeling, and economic research, often using programming languages like Python or R. The role helps bridge the gap between academic knowledge and real-world applications, providing valuable skills for a future career in data science or economics.

What types of projects do interns typically work on in a data science economics internship?

Interns in Data Science Economics roles often work on projects involving data analysis, economic modeling, and statistical research to support business decision-making. These projects may include analyzing large datasets to identify economic trends, building predictive models, and creating visualizations to communicate insights. Interns usually collaborate closely with both data scientists and economists, gaining exposure to real-world applications of economic theories and data-driven problem-solving. This hands-on experience helps interns develop technical and analytical skills while contributing meaningful work to the team.

What are the key skills and qualifications needed to thrive as an internship data science economics, and why are they important?

To thrive as an Internship Data Science Economics, you need a solid background in statistics, econometrics, and programming languages like Python or R, typically supported by progress toward a degree in economics, data science, or a related field. Familiarity with data analysis tools such as SQL, statistical software, and visualization platforms like Tableau is often required. Strong analytical thinking, effective communication, and the ability to collaborate in team environments help interns excel in this role. These skills are crucial for interpreting economic data, delivering actionable insights, and supporting informed decision-making within organizations.

What is the difference between Internship Data Science Economics vs Data Analyst Intern?

AspectInternship Data Science EconomicsData Analyst Intern
Required SkillsStatistics, economics, programming (Python/R), data analysisData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch-focused, economic modeling, data interpretationBusiness insights, reporting, dashboard creation
Industry UsageFinance, consulting, government, research institutionsMarketing, finance, tech companies

Internship Data Science Economics typically involves economic modeling, statistical analysis, and programming skills, often in research or policy environments. Data Analyst Internships focus on interpreting data to generate business insights, using tools like Excel and SQL. Both roles require analytical skills but differ in focus and industry applications.

What are popular job titles related to Internship Data Science Economics jobs in Ohio?

For Internship Data Science Economics jobs in Ohio, the most frequently searched job titles are:

Infographic showing various Internship Data Science Economics job openings in Ohio as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.

Data Scientist.

Kanak Elite Services Inc

Columbus, OH โ€ข On-site

Contractor

Re-posted 6 days ago


Job description

Role: DATA SCIENTIST

Location: Columbus, OH (Onsite)

  • Data Science – 7+ yrs
  • SAS – 5+
  • Python -5+
  • SQL
  • Jupyter, Data Robot preferred
  • AI tools preferred
  • BS w/financial svcs or auto industry exp. required


Required:
• Bachelor’s degree (Major in statistics, computer science, economics, engineering or similar quantitative field preferred) or equivalent experience.
• 5+ years of professional experience as a data scientist or similar in a corporate environment.
• Experience using AI Tools; preferably Jupyter with Python, Data Robot, and SAS.
• Experience using BI Tools; preferably Tableau
• Experience using SQL; preferably Postgres SQL and T-SQL
• 3 years leading agile project delivery for analytical topics
• 3 years in the Financial Services or Automotive Industry (Preferred)
Comments/Special Instructions
SAS CWF Skill Set
Python - Expert
• SAS - Intermediate
• Snowflake - Basic
• SQL Server – Basic
• IDMC / Power Center – Basic
• R - Optional

Thanks & Regards,

Technical Recruiter

Anjali Sonkar

Email : Anjali08@kanakits.com