Economics Expert in Modeling and Causal Analysis

OpenTrain AI, Inc.; United States; Remote; USD 91,000 - 129,000; Full time

Job summary

OpenTrain AI, Inc. is seeking an Economics Expert in Modeling and Causal Analysis to tackle real-world business questions using econometric modeling and causal inference. This remote, hourly engagement requires a master’s degree and at least one first-author publication.

You will build empirical models, improve robustness, document methods, and explain results clearly to non-specialists. Strong programming skills in R/Python and fluency in English are expected.

Qualifications

• Master’s degree required in economics or a related quantitative field.
• 1–3 years in economics, econometrics, policy analysis, data analytics, or related field.
• At least one first-author publication or equivalent first-author work.
• Professional fluency in English.

Responsibilities

• Build empirical models using regression, panel data, causal inference and statistics.
• Improve model quality through variable construction, robustness checks, and sensitivity analysis.
• Document methods, assumptions and analytical choices clearly.
• Explain analytical conclusions to non-specialists.

Skills

Econometrics

Causal inference

Programming

Applied machine learning

Statistical analysis

Data analytics

Communication of methods

Education

Master's degree in economics, econometrics, public policy, or related quantitative discipline

Tools

R

Python

Stata

Job description

Economics Expert in Modeling and Causal Analysis

Use econometric modeling, causal inference, and statistical analysis to answer real business and policy questions. This project-based Economics Expert role pays $80 per hour and requires a relevant master’s degree and first-author work.

Remote Hourly · $80/hr

$80/hr

Compensation

Contract

Engagement

Remote

Location

Posted

Open in 95 countries

• Albania
• Algeria
• Antigua and Barbuda
• Armenia
• Australia
• Austria
• Bahamas
• Bahrain
• Belgium
• Benin
• Bhutan
• Bosnia and Herzegovina
• Botswana
• Brunei
• Bulgaria
• Canada
• Costa Rica
• Côte d’Ivoire
• Croatia
• Cyprus
• Czechia
• Denmark
• Ecuador
• El Salvador
• Estonia
• Ethiopia
• Finland
• France
• Gambia
• Germany
• Greece
• Guatemala
• Guyana
• Hong Kong
• Hungary
• Iceland
• India
• Indonesia
• Ireland
• Israel
• Italy
• Jamaica
• Jordan
• Kenya
• Kuwait
• Latvia
• Liechtenstein
• Lithuania
• Luxembourg
• Madagascar
• Malaysia
• Malta
• Mauritius
• Mexico
• Moldova
• Mongolia
• Morocco
• Mozambique
• Namibia
• Netherlands
• New Zealand
• North Macedonia
• Norway
• Oman
• Pakistan
• Panama
• Peru
• Philippines
• Poland
• Portugal
• Qatar
• Romania
• Rwanda
• Saint Lucia
• Senegal
• Serbia
• Singapore
• Slovakia
• Slovenia
• South Africa
• Spain
• Sri Lanka
• Sweden
• Switzerland
• Taiwan
• Tanzania
• Thailand
• Trinidad and Tobago
• Tunisia
• Türkiye
• United Arab Emirates
• United Kingdom
• United States
• Uzbekistan
• Vietnam

The work

You will support economic analysis and modeling for real-world business and policy questions. The work involves applying economic reasoning, econometric methods, and statistical analysis to real datasets and producing clear, well-supported conclusions.

• Build empirical models using regression, panel data, causal inference, and other statistical methods.
• Improve model quality through variable construction, robustness checks, and sensitivity analysis.
• Document methods, assumptions, and analytical choices clearly.
• Explain analytical conclusions in a way that is accessible to non-specialists.

What it pays and takes

This is project-based analytical work for a quantitative professional who can work independently on technical tasks. Helpful experience includes causal inference, econometrics, programming, applied machine learning, empirical analysis, or teaching statistics and econometrics.

• Pay: $80 per hour.
• Experience: 1 to 3 years in economics, econometrics, policy analysis, data analytics, or a related quantitative field.
• Education: A master’s degree in economics, econometrics, public policy, or a related quantitative discipline is required.
• Research: At least one first-author publication or equivalent first-author work.
• Skills: Strong problem-solving, statistical reasoning, real-data analysis, and clear explanation of methods.
• Language: Professional fluency in English.
• Location: Open to candidates in the countries listed for this role.