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Economist Data Scientist Jobs (NOW HIRING)

Hudson Manpower

Data Scientist

Cincinnati, OH · On-site

$120 - $150/hr

Job Summary We are seeking an experienced Data Scientist to drive causal inference, experimentation ... The ideal candidate will have hands-on experience applying causal inference and econometric ...

Hudson Manpower

Data Scientist

Cincinnati, OH · On-site

$55 - $60/hr

Job Summary We are seeking an experienced Data Scientist to drive causal inference, experimentation ... The ideal candidate will have hands-on experience applying causal inference and econometric ...

Hudson IT

Data Scientist

Cincinnati, OH · On-site

Job Summary We are seeking an experienced Data Scientist to drive causal inference, experimentation ... The ideal candidate will have hands-on experience applying causal inference and econometric ...

Integrated Resources INC

Data Scientist

Newark, NJ

Data scientist Duration: Full-time with benefits+ Bonus Location: Penn Plaza, Newark, NJ Direct ... Build statistical and econometric models for various problems including: projections, clustering ...

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

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 · 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.

Aven

Data Scientist

Campbell, CA · On-site

We are seeking a seasoned Data Scientist to collaborate closely with cross-functional teams. Your ... Leveraging your expertise in statistical analysis, machine learning, and econometric modeling on ...

Audiohook

Data Scientist

Eden, UT · On-site +1

$170K/yr

Bachelor\'s or Master\'s degree in Statistics, Economics, Data Science, Computer Science, or related quantitative field * 3-5 years of applied data science experience with a focus on marketing ...

Aven

Data Scientist

Campbell, CA · On-site

... learning, and econometric modeling on extensive datasets to drive data-driven decisions ... Required : • 5+ years of data science experience with a track record of thought leadership and ...

Bunge Iberica SA

Data Scientist

Chesterfield, MO · On-site

$110 - $150/hr

Data Scientist Date: Aug 10, 2026 Location: Chesterfield, MO -Missouri, US, 63017 City ... This the reason why Bunge has one of the large economic analysis teams in the industry. Our ...

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Economist Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do economist data scientist jobs pay per year?

As of Aug 19, 2026, the average yearly pay for economist data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is an economist data scientist?

An Economist Data Scientist combines economics and data science to analyze data, build models, and generate insights for decision-making. They use statistical techniques, machine learning, and economic theories to study market trends, pricing, policy impacts, and business strategies. These professionals work with large datasets, design experiments, and create predictive models to solve complex economic problems. They are commonly employed in industries such as finance, technology, government, and consulting. Strong skills in programming, econometrics, and data visualization are essential for this role.

What does an economist data scientist do?

An Economist Data Scientist typically spends their day gathering and cleaning large datasets, conducting statistical and econometric analyses, developing predictive models, and interpreting economic trends. They frequently collaborate with cross-functional teams such as business strategists, product managers, and other data scientists to provide actionable insights that guide business decisions. Presenting findings through reports and data visualizations is also a key responsibility, requiring clear communication tailored to both technical and non-technical audiences. The role involves both independent, analytical work and regular team interactions to ensure data-driven strategies are effectively integrated into company operations.

What are the key skills and qualifications needed to thrive as an economist data scientist?

To thrive as an Economist Data Scientist, you typically need a strong background in economics, statistical analysis, and data science, often supported by a degree in economics, statistics, or a related field. Familiarity with analytical tools such as R, Python, SQL, and machine learning platforms, as well as experience with data visualization software, is highly valued. Strong problem-solving skills, effective communication, and the ability to convey complex findings to non-technical stakeholders are important soft skills. These competencies are essential for translating economic data into actionable business insights and making informed decisions in data-driven environments.

More about Economist Data Scientist jobs

What cities are hiring for Economist Data Scientist jobs?

Cities with the most Economist Data Scientist job openings:

What are the most commonly searched types of Economist Data Scientist jobs?

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States with the most job openings for Economist Data Scientist jobs include:

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The top searched job categories for Economist Data Scientist jobs are:

Economist Data Scientist jobs near you
Infographic showing various Economist Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Hudson Manpower

Cincinnati, OH • On-site

$120 - $150/hr

Other

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.


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