2

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 ...

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

Remote -- US or Canada \\n About the Role As our Staff Data Scientist , you will design and ship ... Strong grounding in causal inference and experimental design, including the ability to distinguish ...

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 ...

Data Scientist, AI/ML

$220K - $290K/yr

... scale causal inference in production * Experience standing up MLOps tooling such as model serving, monitoring, or feature store infrastructure * Working in Remote first environments * Has been ...

... causal inference is strongly preferred The initial appointment is for a one-year period, with the possibility for renewal. This position is fully remote - no on-campus presence is required. Position ...

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 ...

Senior Data Scientist

$170K - $200K/yr

We're a remote-friendly company with offices in San Francisco and Los Angeles. About the Role We ... This is an applied data science role focused on translating statistical and causal inference ...

Data Scientist

San Francisco, CA · On-site +1

$194K/yr

Conduct experimentation and execute causal inference analyses on pricing, marketing, and product ... Position is 100% remote. Salary: $194,834 per year. Requirements: * Master's degree in Data Science ...

next page

Showing results 1-20

Remote Causal Inference information

See salary details

$16

$56

$81

How much do remote causal inference jobs pay per hour?

As of Jul 27, 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 job?

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, and why are they important?

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.
More about Remote Causal Inference jobs
What cities are hiring for Remote Causal Inference jobs? Cities with the most Remote 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 Remote Causal Inference jobs? 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 July 2026, with employment types broken down into 6% Locum Tenens, 83% Full Time, 10% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $118,171 per year, or $56.8 per hour.
Senior Data Analyst - Experimentation & Causal Inference

Senior Data Analyst - Experimentation & Causal Inference

Numentica LLC

Tustin, CA • Remote

$40 - $50/hr

Full-time

Posted 5 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\