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Economics Data Science Jobs in Ohio (NOW HIRING)

Data Scientist

Cincinnati, OH · 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 ...

Data Scientist

Cincinnati, OH · On-site

$120 - $150/hr

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

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

Bachelor's or Master's in Statistics, Data Science, Computer Science, Applied Math, Economics, or related quantitative field Preferred: * Experience with MLOps practices including workflow ...

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 ...

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 ...

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 ...

Lead Data Scientist

Columbus, OH · 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 · 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

$103.60 - $138.14/hr

Du verfügst über ein abgeschlossenes Studium in (angewandter) Mathematik, (Wirtschafts-)Informatik, Data Science oder einem vergleichbaren Fach. * Ebenso hast du erste praktische Erfahrung mit ...

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Showing results 1-20

Economics Data Science information

See Ohio salary details

$39.5K

$135.4K

$191.1K

How much do economics data science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for economics data science in Ohio is $135,437.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,700.00 and $158,300.00 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.

What job categories do people searching Economics Data Science jobs in Ohio look for?

The top searched job categories for Economics Data Science jobs in Ohio are:

Infographic showing various Economics Data Science job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $135,437 per year, or $65.1 per hour.

Data Scientist

Hudson Manpower

Cincinnati, OH • On-site

$55 - $60/hr

Full-time

Posted 12 days ago


Job description

Job Summary
We are seeking an experienced Data Scientist to drive causal inference, experimentation, measurement, personalization, and applied AI initiatives. The ideal candidate will have hands-on experience applying causal inference and econometric techniques to measure business impact, build production-ready machine learning solutions, and translate analytical insights into measurable business outcomes. Experience with Generative AI is a plus but not the primary requirement.
Key Responsibilities
  • Design and implement causal inference and causal machine learning solutions.
  • Measure the impact of business treatments on customer behavior, revenue, retention, and engagement.
  • Apply statistical methods including:
    • Difference-in-Differences
    • Matching
    • Panel Data Models
    • CATE Estimation
    • Uplift Modeling
    • Heterogeneous Treatment Effect Modeling
  • Define treatments, control groups, counterfactuals, outcome metrics, and evaluation windows.
  • Build scalable, production-ready ML pipelines using software engineering and MLOps best practices.
  • Partner with business and product teams to convert business problems into scientific solutions.
  • Develop and integrate Generative AI solutions including RAG, prompt engineering, LLM workflows, fine-tuning, and agentic AI where applicable.
  • Evaluate emerging AI/ML technologies for production adoption.
  • Present technical findings and business impact to both technical and non-technical stakeholders.
  • Provide technical guidance and code reviews to team members.

Required Qualifications
  • 3+ years of applied Data Science experience.
  • Strong experience with causal inference, causal ML, econometrics, or experimentation.
  • Experience measuring treatment effects and incremental business impact.
  • Hands-on experience with:
    • Difference-in-Differences
    • Matching
    • CATE
    • Panel Data Analysis
    • Uplift Modeling
    • Heterogeneous Treatment Effects
  • Strong Python and SQL programming skills.
  • Experience with Git.
  • Experience developing production-quality ML or analytics solutions.
  • Strong analytical, communication, and problem-solving skills.
  • Bachelor's or Master's degree in Statistics, Economics, Data Science, Computer Science, Applied Mathematics, or related quantitative field.

Preferred Qualifications
  • Experience with Generative AI, RAG, Prompt Engineering, Fine-tuning, LLM Evaluation, or Agentic AI.
  • Experience with Azure, Databricks, or similar cloud platforms.
  • Experience with MLOps, deployment, orchestration, monitoring, and model lifecycle management.
  • Experience building experimentation platforms or measurement pipelines.
  • Retail, CPG, media, personalization, loyalty, or customer analytics experience.
  • Experience mentoring technical teams.