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Causal Inference Economist Jobs (NOW HIRING)

Expedia

Senior Economist

Seattle, WA · On-site

$277K/yr

Senior Economist Expedia Group's Economics and Experimentation Science team is looking for a Senior Economist to drive causal inference and marketplace optimization at scale-impactingbillions of ...

Amazon

Economist, Ads Measurement Science

New York, NY · On-site

We are hiring an Economist on the team to develop the next generation of incrementality measurement ... Key job responsibilities Leverage deep expertise in causal inference to develop robust, causally ...

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Causal Inference Economist information

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How much do causal inference economist jobs pay per year?

As of Sep 10, 2026, the average yearly pay for causal inference economist in the United States is $82,064.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $98,500.00 per year, depending on experience, location, and employer.

What is a causal inference economist?

A Causal Inference Economist is a professional who specializes in using statistical and econometric methods to determine cause-and-effect relationships in economic data. Unlike traditional economists who might focus on correlations or trends, causal inference economists design studies and analyses that help identify whether one variable truly impacts another. They often use techniques like randomized controlled trials, natural experiments, and instrumental variables to isolate causal effects. Their work is crucial for informing policy decisions, evaluating interventions, and understanding the real-world impact of economic changes.

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

To thrive as a Causal Inference Economist, you need a strong background in econometrics, statistics, and microeconomic theory, often supported by a PhD in economics or a related quantitative field. Proficiency with statistical programming languages such as R, Python, or Stata, and familiarity with causal inference frameworks like difference-in-differences and instrumental variables, are typically required. Critical thinking, problem-solving, and the ability to communicate complex results clearly are standout soft skills in this role. These skills ensure rigorous analysis, actionable insights, and effective collaboration with both technical and non-technical stakeholders.

What are some common challenges faced by causal inference economists when working with real-world data?

Causal Inference Economists often encounter challenges such as dealing with incomplete or noisy data, identifying suitable natural experiments or instruments, and ensuring their assumptions for causal identification are valid. Real-world data rarely conforms perfectly to theoretical models, requiring creative problem-solving and strong statistical rigor. Collaboration with data engineers and domain experts is common to better understand the data’s limitations and context, which helps in designing robust empirical strategies.

What is the difference between Causal Inference Economist vs Data Scientist?

AspectCausal Inference EconomistData Scientist
Required CredentialsAdvanced degree in Economics, Statistics, or related fieldDegree in Computer Science, Statistics, or related field
Work EnvironmentResearch-focused, policy analysis, academia, or economic consultingTech companies, finance, healthcare, or startups
Employer & Industry UsageGovernment agencies, research institutions, economic consulting firmsTech firms, finance, e-commerce, and data-driven industries

While both roles analyze data, a Causal Inference Economist specializes in understanding cause-and-effect relationships within economic contexts, often using econometric methods. A Data Scientist has a broader focus on extracting insights from data across various domains, utilizing machine learning and statistical techniques. The roles overlap in data analysis skills but differ in their primary focus and industry applications.

Can causal inference be used in economics?

Causal inference is a key skill for a Causal Inference Economist, enabling the analysis of cause-and-effect relationships in economic data. It is widely used in economics to evaluate policies, understand market behaviors, and inform decision-making, often utilizing tools like randomized experiments, natural experiments, and statistical models. Proficiency in econometrics and statistical software is essential for applying causal inference methods effectively.

What jobs use causal inference?

Causal inference is used in roles such as economists, data scientists, policy analysts, and healthcare researchers to determine cause-and-effect relationships. These jobs often require skills in statistical analysis, programming, and familiarity with causal inference methods like randomized controlled trials and observational study techniques.

What are popular job titles related to Causal Inference Economist jobs?

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

Infographic showing various Causal Inference Economist job openings in the United States as of September 2026, with employment types broken down into 6% Internship, 79% Full Time, 14% Part Time, and 1% Contract. Highlights an 65% Physical, 2% Hybrid, and 33% Remote job distribution, with an average salary of $82,064 per year, or $39.5 per hour.

Senior Economist

Seattle, WA • On-site

Expedia
See more jobs at Expediaexternal

$277K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 24 days ago

Key responsibilities

  • Build scalable econometric models to measure elasticity, changes in supplier behavior, and customer lifetime value.

  • Design and execute causal measurement frameworks for marketplace interventions, including geo experiments and instrumental variable approaches.

  • Partner with ML teams to integrate causal inference into production systems and inform product decisions.

Expedia Group rating

6.9

Company rating: 6.9 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

Job description

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.


Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.

Senior Economist

Expedia Group's Economics and Experimentation Science team is looking for aSenior Economistto drive causal inference and marketplace optimization at scale-impactingbillions of dollars in transaction value across one of the world's largest travel platforms.

You'lltackle high-stakes problems, includingmeasuring incrementalityin two-sided marketplaces, quantifying long-term value of customer behavior signals, anddesigning quasi-experimental methodsto evaluate product changes thatcan'tbe measured using A/B testing techniques. Your work will directly shape how Expedia Group balancestravelerexperience, partner economics, and platform health.

This is a senior individual contributor role with high autonomy.You'llown end-to-end method development initiatives, influence product strategy at the executive level, and set technical standards for causal inference across the organization.You'llcollaborate closely with ML engineers, data scientists, analysts, and product leaders who value rigorous econometric thinking.

In this role, you will:

  • Build scalableeconometric models(panel data methods,DiD, RDD, IV) to measure elasticity, changes in supplier behavior, and customer lifetime value in the presence of endogeneity, simultaneity, and platform dynamics

  • Establish the technical roadmap forlong-term impact measurement, moving beyond short-term experiment metrics to quantify sustained effects on customer retention, partner engagement, and marketplace equilibrium

  • Design and executecausal measurementframeworks for marketplace interventions, including geo experiments, difference-in-differences, synthetic controls, and instrumental variable approaches, to isolate the true causal effect of product changes

  • Partner with ML teams tointegrate causal inference into productionsystems, informing ranking algorithms, pricing optimization, and recommendation engines with econometrically validated insights

  • Translate complex econometric findingsinto clear executive narratives that drive multi-million-dollar product decisions, presenting to executive stakeholders with clarity and conviction

  • Mentor data scientists and economists across the organization,elevating the rigor of causal reasoning and experimental design

Experience and Qualifications:

  • PhD in Economics, Applied Economics, Econometrics, Statistics, or a related quantitative field

  • 8+ years of relevant professional experience

  • Solid foundation inmicroeconomic theory and applied econometrics, with the ability to applyappropriate causalinference techniques

  • Demonstratedexperience applying econometric methodsto real-world business problems in tech, e-commerce, or marketplace environments

  • Deepexpertisein the causal inference toolkit: IV,DiD, RDD, synthetic controls, panel data methods, experimental design,metalearners,doubleML, causal forests

  • Proficiencyin Python or R with strong SQL skills towork with large-scale, noisy, real-world data, including the ability to query and process data

  • Track recordofinfluencing product strategyor business decisions through rigorous quantitative analysis-ideally with examples of work that shipped to production

  • Exceptional communication skills:ability to explain econometricmethodology,identifyingassumptions, and business implications to non-technical executives

  • Ability to work in a fast-paced business environment

Preferred Qualifications

  • Publications or working papers in applied economics, econometrics, or quantitative methods (academic or industry venues)

  • Experience with marketplace or platform economics: two-sided markets, network effects, dynamic pricing, or general equilibrium modeling

  • Experience integrating causal models into ML pipelines or production systems

  • Familiarity with modern AI/ML workflows and LLM-assisted analysis tools

  • Background in travel, e-commerce, or large-scale consumer marketplaces

#LI-MC1

The total cash range for this position in Seattle is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future.


Benefits and perks

Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life.


Accommodation requests

Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.


About Expedia Group

Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.


Important notice

Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.


Equal Opportunity

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

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