ZipRecruiter

Log In

1

Causal Inference Jobs in Illinois (NOW HIRING)

Grubhub

Senior Staff Data Scientist

Chicago, IL

Develop causal inference and experimentation frameworks that help Wonder understand which product, operational, and marketplace changes truly drive business impact. * Partner with engineering to ...

next page

Showing results 1-20

All JobsCausal Inference JobsCausal Inference Jobs in Illinois

Causal Inference information

What is a causal inference?

A Causal Inference job involves using statistical and computational methods to determine cause-and-effect relationships from data. Professionals in this field work with observational and experimental data to identify causal impacts, often in domains like economics, healthcare, social sciences, and technology. They apply techniques such as propensity score matching, instrumental variables, and difference-in-differences to ensure rigorous analysis. These roles are commonly found in academia, policy research, and data science teams within tech and finance companies. Strong skills in statistics, programming (e.g., Python, R), and experimental design are typically required.

What skills and qualifications are needed for a causal inference position?

Success in a Causal Inference role requires strong statistical knowledge, expertise in experimental and quasi-experimental methodologies, and advanced proficiency in programming languages like R or Python, typically acquired with an advanced degree in statistics, economics, data science, or a related field. Familiarity with specialized statistical software (such as Stata, SAS, or causal inference packages in R/Python), as well as experience with large datasets and machine learning tools, is highly valued. Excellent problem-solving abilities, clear communication, and collaboration skills are essential soft skills for effectively conveying complex findings to diverse teams. These competencies are critical to producing reliable insights that guide evidence-based decision-making in business, healthcare, or policy settings.

What are common challenges faced in a causal inference position?

Professionals in Causal Inference often encounter challenges such as dealing with confounding factors, addressing selection bias, and ensuring the validity of assumptions behind statistical models. They must carefully design experiments or leverage observational data while staying vigilant about potential data quality issues and model limitations. Collaboration with subject matter experts, data engineers, and business stakeholders is common to ensure accurate contextualization of results. Overcoming these challenges requires a mix of technical acumen and strong communication skills to translate complex analyses into actionable recommendations.

What are the most commonly searched types of Causal Inference jobs in Illinois?

The most popular types of Causal Inference jobs in Illinois are:

What are popular job titles related to Causal Inference jobs in Illinois?

For Causal Inference jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Causal Inference jobs in Illinois look for?

The top searched job categories for Causal Inference jobs in Illinois are:

What cities in Illinois are hiring for Causal Inference jobs?

Cities in Illinois with the most Causal Inference job openings:

Causal Inference jobs near you
Infographic showing various Causal Inference job openings in Illinois as of August 2026, with employment types broken down into 76% Full Time, 23% Part Time, and 1% Contract. Highlights an 68% Physical, 3% Hybrid, and 29% Remote job distribution.

Quantitative Researcher - Public Health, Healthcare Evaluation, & Disability

Chicago, IL • On-site

Mathematica
Scientific Research and Development Services • 1 - 5K employees
Learn more about Mathematicaexternal

Full-time

Posted 18 days ago

Job description

Mathematica is hiring researchers with specific expertise inquantitative research methods, causal inference, and policy research, who willconduct studies and support program evaluation in the areas of public health, healthcare,and disability.
The researchers will support project teams in the planningand execution of rigorous, data-driven research project for clients such as:The Centers for Medicare & Medicaid Services, the Social SecurityAdministration, the Substance Abuse and Mental Health Services Administration,the Agency for Healthcare Research and Quality, the Health Resources &Services Administration the Office of the Assistant Secretary for Planning andEvaluation, leading health foundations, and numerous state and local agenciesand commercial clients.

Responsibilities and expectations:

  • Collaborate with senior staff in a multidisciplinary environment to apply rigorous quantitative research methods, including study design, causal inference, data management, and statistical and econometric analysis for describing or evaluating programs and policies
  • Draft reports, present findings to policy and professional audiences, and publish in professional journals
  • Help develop proposals for new research projects
  • Contribute to the growth, expertise, andinstitutional knowledge of other research staf

Apply