ZipRecruiter

Log In

1

Phd Causal Inference Jobs in Pittsburgh, PA (NOW HIRING)

Cmu

Associate Data Scientist

Pittsburgh, PA · On-site

$57K - $57K/yr

... or PhD in data science, machine learning, computer science, statistics, or related highly ... Causal inference / uplift modeling / synthetic controls * Modern ML frameworks: LightGBM/XGBoost ...

Cmu

Data Scientist

Pittsburgh, PA

... or PhD in data science, machine learning, computer science, statistics, or related highly ... Causal inference / uplift modeling / synthetic controls * Modern ML frameworks: LightGBM/XGBoost ...

Cmu

Senior Data Scientist

Pittsburgh, PA · On-site

... or PhD in data science, machine learning, computer science, statistics, or related highly ... Causal inference / uplift modeling / synthetic controls * Modern ML frameworks: LightGBM/XGBoost ...

next page

Showing results 1-20

All JobsPhd Causal Inference JobsPhd Causal Inference Jobs in Pittsburgh, PA

Phd Causal Inference information

See Pittsburgh, PA salary details

$38.8K

$119.3K

$173.3K

How much do phd causal inference jobs pay per year?

As of Aug 23, 2026, the average yearly pay for phd causal inference in Pittsburgh, PA is $119,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $134,000.00 per year, depending on experience, location, and employer.

What is a PhD in causal inference?

A PhD in Causal Inference is an advanced research degree focused on understanding and identifying cause-and-effect relationships using statistical and computational methods. Students in this field learn to design studies, analyze data, and develop new methodologies to answer complex causal questions in areas such as social sciences, medicine, economics, and artificial intelligence. Graduates often work in academia, research institutions, or industries where evidence-based decision-making is essential.

What are the key skills and qualifications needed to thrive as a PhD causal inference researcher?

To thrive as a PhD Causal Inference researcher, you need advanced knowledge of statistics, econometrics, and causal modeling, typically supported by a doctoral degree in a quantitative field. Familiarity with statistical programming languages (such as R or Python), specialized software (like STATA or SAS), and experience with experimental or quasi-experimental methods are essential. Strong analytical thinking, attention to detail, and the ability to communicate complex findings clearly make a candidate stand out. These skills ensure rigorous, credible research that can inform policy, product development, or scientific understanding by accurately identifying causal relationships.

What collaborative opportunities can a PhD specializing in causal inference expect within a multidisciplinary research team?

PhD professionals in Causal Inference frequently collaborate with experts from fields such as epidemiology, economics, computer science, and public health. They often work closely with data scientists, subject matter experts, and statisticians to design studies, interpret complex datasets, and develop robust analytical models. This multidisciplinary environment fosters continuous learning and often leads to co-authorship on research publications, participation in grant writing, and involvement in high-impact policy or product decisions. Effective communication and teamwork skills are essential to translate technical findings for diverse audiences and drive actionable insights.

What are popular job titles related to Phd Causal Inference jobs in Pittsburgh, PA?

For Phd Causal Inference jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Phd Causal Inference jobs in Pittsburgh, PA look for?

The top searched job categories for Phd Causal Inference jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Phd Causal Inference jobs?

Cities near Pittsburgh, PA with the most Phd Causal Inference job openings:

Phd Causal Inference jobs near you

Assistant Professor in Marketing

University of Pittsburgh

Pittsburgh, PA • On-site

Full-time

Re-posted 23 days ago

Job description

The School of Business at the University of Pittsburgh seeks an Assistant Professor in Marketing in Pittsburgh, PA, to teach graduate and undergraduate courses and produce high-quality research that results in publications in top journals. Duties include: (i) teaching undergraduate business students; (ii) conducting research on empirical quantitative marketing topics and leading research projects that result in publishing in top journals; (iii) advising PhD students specializing in quantitative marketing; and (iv) participating in departmental and academic services, including faculty hiring, PhD admission, curriculum design, conference presentations, and peer review.
Must have a PhD degree (or foreign equivalent degree) in Marketing, Management, or a related field.
Must also have any experience with: (i) teaching marketing classes to MBA/EMBA students; and (ii) conducting independent research and leading research projects in empirical quantitative marketing on topics related to competition policy, privacy, platforms, digitization, and retailing.
Must also have: (i) evidence of publication of at least two (2) peer-reviewed journal articles for top marketing and management journals; (ii) at least two (2) single authored academic paper and two (2) paper coauthored with other scholars, (iii) presentations of scholarly work at major academic marketing and economics conferences; and (iv) PhD level coursework in economic theory, econometrics, statistics, causal inference, and major areas of marketing research.
Experience can be concurrent.
Apply at https://www.join.pitt.edu, #26003872.
Please answer the screening questions by accessing the link here: Screening Questions_Assistant Professor, Marketing (2026).docx

Apply