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Remote Causal Inference Jobs (NOW HIRING)

As a Data Scientist working on Causal Inference in CS, you will have the opportunity to collaborate ... This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or ...

As a Data Scientist working on Causal Inference in CS, you will have the opportunity to collaborate ... This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or ...

This data scientist will perform careful hypothesis generation, causal inference framework ... This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or ...

New

This data scientist will perform careful hypothesis generation, causal inference framework ... This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or ...

New

Deep expertise in experimentation and causal inference. * Strong knowledge of Bayesian modeling and ... This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or ...

Deep expertise in experimentation and causal inference. * Strong knowledge of Bayesian modeling and ... This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or ...

Data Scientist

Eden, UT · On-site +1

$170K/yr

Apply causal inference methods -- difference-in-differences, synthetic controls, instrumental ... Communicate clearly and proactively in a remote-first environment Qualifications Required

Develop and apply causal inference methods, including experimental, econometric regressions, and ... This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or ...

Remote Salary: $89.00 - $95.00 per hour ORAU is seeking a fully remote Senior Advisor - Payment ... Skills and Competencies: * Strong command of claims data analysis, causal inference methods ...

You will apply analytical rigor and methodologies like experimentation and causal inference to ... Remote-first approach with the option for hybrid work from our offices in Kyiv, Warsaw, and Lisbon.

Develop and apply causal inference methods, including experimental, econometric regressions, and ... This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or ...

We're completely remote friendly. Team Description: The Marketing Science team at Reddit leverages ... We serve as the engine behind our growth, using advanced experimentation, causal inference, and ...

Team members who choose virtual / remote work should have an adequate space to serve as their home ... Apply causal inference techniques using observational data to uncover relationships * Prepare and ...

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How much do remote causal inference jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for remote causal inference in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

What is a remote causal inference?

A Remote Causal Inference job involves using statistical and analytical methods to determine cause-and-effect relationships from data, often for fields like healthcare, social sciences, or business. Professionals in this role work remotely, leveraging tools such as R, Python, or specialized software to analyze experiments, observational studies, or large datasets. Their insights help organizations make data-driven decisions, design better interventions, and accurately measure the impact of policies or treatments. Strong skills in statistics, machine learning, and communication are essential for success in this position.

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

To thrive as a Remote Causal Inference Specialist, you need strong quantitative and statistical skills, a solid background in econometrics or data science, and typically an advanced degree in a related field. Proficiency with statistical programming languages such as R or Python, experience with causal inference frameworks like propensity score matching or instrumental variables, and familiarity with data visualization tools are crucial. Outstanding problem-solving abilities, clear communication, and self-motivation are essential soft skills for working independently and conveying complex results to non-technical stakeholders. These skills enable accurate, actionable insights from data, which drive evidence-based decision-making in remote, collaborative environments.

How does a remote causal inference specialist typically collaborate with cross-functional teams, and what tools are commonly used?

As a remote Causal Inference specialist, you’ll frequently work with data scientists, product managers, and engineers to design and interpret experiments, analyze observational data, and provide actionable insights. Collaboration usually happens through regular video meetings, shared documentation, and project management tools. Commonly used platforms include Slack or Microsoft Teams for communication, GitHub for code collaboration, and Jupyter Notebooks or RMarkdown for sharing reproducible analyses. These tools help ensure transparency and maintain strong teamwork despite the remote environment.
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Cities with the most Remote Causal Inference job openings:

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

Infographic showing various Remote Causal Inference job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $118,171 per year, or $56.8 per hour.

Senior Data Analyst - Experimentation & Causal Inference

Numentica LLC

Tustin, CA • Remote

$40 - $50/hr

Full-time

Posted 26 days ago


Job description

This is a remote position.

We are looking for a Senior Data Analyst with strong experience in A/B testing, causal inference, and business analytics. This role will partner closely with business stakeholders to analyze analytic requests, design and interpret experiments, build dashboards, and translate data findings into clear business recommendations.

Key Responsibilities

  • Work with business and product stakeholders on analytics requests

  • Design, analyze, and interpret A/B tests

  • Apply causal inference methods to explain business outcomes

  • Build dashboards and reports in Tableau

  • Present technical findings to non-technical audiences

  • Provide actionable insights that influence product, marketing, and business decisions

Required Skills

  • Advanced SQL

  • Strong Python

  • Hands-on Tableau

  • Solid knowledge of statistics, A/B testing, and causal inference

  • Strong communication and stakeholder management skills\