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Causal Inference Jobs (NOW HIRING)

Build production systems for causal inference that maintain statistical rigor at enterprise scale * Develop algorithms that are both mathematically sound and computationally efficient * Collaborate ...

Robust knowledge of causal inference approaches such as propensity scores, synthetic controls, difference-in-differences, doubly robust methods, meta learners, and uplift modeling. * Expertise in A/B ...

Advanced Statistical & Causal Inference: Apply deep knowledge of experimental design, regression, classification, causal inference (difference-in-differences, propensity scores, instrumental ...

$140 - $210/hr

This data scientist will perform careful hypothesis generation, causal inference framework development, and model development/evaluation to ideate and drive payment strategies on our platform. This ...

New

Apply deep knowledge of experimental design, regression, classification, causal inference (difference-in-differences, propensity scores, instrumental variables), and ensure proper assumptions. · ...

Applied Scientist

Culver City, CA · On-site

$150 - $210/hr

Description As an Applied Scientist, you will have the responsibility of pushing the boundaries of how Causal Inference and AIML can be leveraged to better serve our customers. You will be at the ...

We are currently seeking an experienced and passionate Applied Scientist, who will work on innovative products at the intersection of causal inference, statistics, and machine learning to help ...

We are currently seeking an experienced and passionate Applied Scientist, who will work on innovative products at the intersection of causal inference, statistics, and machine learning to help ...

Data Scientist

Cincinnati, OH · On-site

$55 - $60/hr

Job Summary We are seeking an experienced Data Scientist to drive causal inference, experimentation, measurement, personalization, and applied AI initiatives. The ideal candidate will have hands-on ...

Job Summary We are seeking an experienced Data Scientist to drive causal inference, experimentation, measurement, personalization, and applied AI initiatives. The ideal candidate will have hands-on ...

Showing results 41-60

Causal Inference information

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$55K

$99.2K

$135.5K

How much do causal inference jobs pay per year?

As of Aug 20, 2026, the average yearly pay for causal inference in the United States is $99,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $108,500.00 per year, depending on experience, location, and employer.

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 cities are hiring for Causal Inference jobs?

Cities with the most Causal Inference job openings:

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

The most popular types of Causal Inference jobs are:

What states have the most Causal Inference jobs?

States with the most job openings for Causal Inference jobs include:

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

The top searched job categories for Causal Inference jobs are:

Infographic showing various Causal Inference job openings in the United States as of August 2026, with employment types broken down into 81% Full Time, 18% Part Time, and 1% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $99,231 per year, or $47.7 per hour.

Senior Data Scientist -- Experimentation & Causal Inference (San Mateo)

Sony Playstation

San Mateo, CA • On-site

$178K - $268K/yr

Full-time

Medical, Dental

Re-posted 18 days ago


Job description

A leading entertainment company in San Mateo is looking for a Senior Data Scientist to lead experimentation efforts. The candidate should have a strong background in A/B testing and causal inference, proficiency in SQL and Python, and the ability to influence decisions with data-driven insights. The job offers a competitive salary range of $178,900 — $268,300 and comprehensive benefits, including medical and dental coverage. This role is suitable for those passionate about data science and gaming.
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