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Causal Inference Jobs in Chicago, IL (NOW HIRING)

Everpure

Principal Economist, GTM Science

Chicago, IL · On-site

$168K - $269K/yr

Advanced Econometric & Causal Inference Expertise: Deep grounding in causal inference methodologies, including causal forests, treatment-effect heterogeneity, synthetic control, and difference-in ...

Meta

Competitive Intelligence Research

Chicago, IL

$177K/yr

Act as a recognized professional in a technical or methodological area (e.g., causal inference, bayesian aggregation), driving the adoption of advanced methods and organization-wide best practices ...

Numerator

Director, Data Science

Chicago, IL · On-site

Experience with causal inference, experimental design, or behavioral modeling * Experience developing statistical methods for consumer, retail, marketing, or longitudinal datasets * A demonstrated ...

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All JobsCausal Inference JobsCausal Inference Jobs in Chicago, IL

Causal Inference information

See Chicago, IL salary details

$56.7K

$102.2K

$139.6K

How much do causal inference jobs pay per year?

As of Jul 15, 2026, the average yearly pay for causal inference in Chicago, IL is $102,222.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,600.00 and $111,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Causal Inference position, and why are they important?

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 some 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 is a Causal Inference job?

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 are the most commonly searched types of Causal Inference jobs in Chicago, IL? The most popular types of Causal Inference jobs in Chicago, IL are:
What are popular job titles related to Causal Inference jobs in Chicago, IL? For Causal Inference jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Causal Inference jobs in Chicago, IL look for? The top searched job categories for Causal Inference jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Causal Inference jobs? Cities near Chicago, IL with the most Causal Inference job openings:
Causal Inference jobs near you
Infographic showing various Causal Inference job openings in Chicago, IL as of July 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $102,222 per year, or $49.1 per hour.
Lead Decision Science Analyst

Lead Decision Science Analyst

Chamberlain Group

Oak Brook, IL • On-site

$102K - $193K/yr

Full-time

Retirement

Re-posted 28 days ago

Job description

Chamberlain Group (CG) is a global leader in intelligent access and Blackstone portfolio company. Powered by our myQ technology, we make access simple and secure for millions of homeowners, businesses, and communities worldwide. Our flagship brands, LiftMaster® and Chamberlain® , are found in 51+ million homes, and 14 million+ people rely on the myQ® app daily.
Job Summary
The Lead Decision Science Analyst translates data into strategic insights that directly influence product, marketing, and business decisions. This role focuses on causal inference, experimentation, and deep exploratory analytics to answer complex business questions. The Lead Decision Science Analyst will partner
closely with cross functional leaders from Product, Engineering, Marketing, and Finance to design experiments, evaluate impact, uncover growth opportunities, and provide recommendations that drive measurable business outcomes.
Success requires strong business acumen, statistical rigor, and exceptional communication skills.
Essential Duties and Responsibilities
  • Build relationships with business leaders and truly understand their strategy, key initiatives, and KPIs for success such that you have shared ownership for reaching their goals.
  • Conduct deep exploratory, diagnostic, and causal analyses to understand drivers of behavior, identify levers for growth, and quantify the business impact of initiatives
  • Design, analyze, and interpret A/B tests and other causal inference approaches; ensure test validity and clear readouts.
  • Develop, measure, and monitor product or customer KPIs in collaboration with product managers and finance partners.
  • Identify leading indicators, behavioral trends, and segmentation opportunities to guide strategy.
  • Translate technical results into clear recommendations for senior stakeholders using verbal and written analytic insights, compelling visualizations, and data-driven recommendations.
  • Communicate uncertainty, assumptions, tradeoffs, and limitations to non-technical stakeholders.
  • Utilize SQL and Python to extract, manipulate, integrate, and analyze large datasets.
  • Develop a deep understanding of relevant data from various data platforms.
  • Translate complex business requirements into analytical frameworks.
  • Ensure data accuracy and integrity in all analytics and reporting.
  • Provide guidance to associate and senior analysts with analytics best practices, experimental design, and statistical rigor.
  • Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams.
  • Protect Chamberlain Group's reputation by keeping information confidential.
  • Maintain professional and technical knowledge by attending educational workshops, reading professional publications, establishing personal networks, and participating in professional societies. • Contribute to the team effort by accomplishing related results and participating on projects as needed.

Minimum Qualifications
Education/Certifications:
  • Bachelor's degree in Business Analytics, Statistics, Mathematics, Econometrics, Engineering, or another related field with significant analytical coursework

Experience:
  • 5+ years of relevant work experience in an analytics role, preferably in product, marketing, or growth analytics
  • 2+ years of experience building dashboards and reports in Power BI, Tableau, or other visualization tools
  • Experience with Python
  • 2+ years applying experimentation and causal inference methods (A/B tests, quasi-experiments) in product or marketing contexts.

Knowledge, Skills, and Abilities:
  • Ability to deal with ambiguity and make quality decisions in a dynamic, fast-paced environment.
  • Ability to effectively lead projects from conception to conclusion, both independently and in a team environment (including working with both internal and external business partners)
  • Exceptional SQL skills with a strong track record of working with complex datasets, including data extraction and manipulation.
  • Strong understanding of business processes and strategic planning
  • Strong verbal and written communication and presentation skills, with the ability to translate complex concepts into actionable business insights.
  • Proven track record of leading projects and cross-functional teams
  • Strong problem-solving skills and the ability to think analytically.
  • Ability to work independently and collaboratively in a fast-paced environment.

Other:
Preferred Qualifications
Education/Certifications:
  • MBA or Master's degree in a related field

#LI-JM2
#LI-Hybrid
The pay range for this position is $102,600.00 - $193,425.00; base pay offered may vary depending on a number of factors including, but not limited to, the position offered, location, education, training, and/or experience. In addition to base pay, also offered is a comprehensive benefits package and 401k contribution (all benefits are subject to eligibility requirements). This position is eligible for participation in a short-term incentive plan subject to the terms of the applicable plans and policies.
Chamberlain Group wants all of its employees to succeed and encourages people of all backgrounds to apply. We're proud to be an Equal Opportunity Employer, and you'll be considered for this role regardless of race, color, religion, sex, national origin, age, sexual orientation, ancestry; marital, disabled or veteran status. We're committed to fostering an environment where people of all lived experiences feel welcome.
Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence Recruiting@Chamberlain.com.
NOTE: Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly.

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