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Remote Causal Inference Jobs (NOW HIRING)

The Knot Worldwide

VP, Data Science

Ensure rigorous A/B testing, incrementality measurement, and causal inference across growth ... This role is fully remote and not tied to any specific office location. While there are no regular ...

2U

Data Scientist II

Crystal City, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experimentation and causal inference Own A/B tests end-to-end, from design and power analysis ... While this position is open to remote candidates across the U.S., we will prioritize those who live ...

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Perform statistical analysis, hypothesis testing, causal inference, and A/B test analysis. * Build ... Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No ...

Reddit

Senior Data Scientist, Ads

  • Medical

  • Retirement

  • PTO

US remote-friendly Reddit has a flexible first workforce. At Reddit we continue to grow our teams ... Strong understanding of statistical modeling, machine learning algorithms, causal inference and ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · On-site +1

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 ...

Teladoc

Data Scientist III

New York, NY · On-site +1

$172K - $219K/yr

Telecommuting: 100% Remote. REQUIREMENTS: This position requires a bachelor's degree or foreign ... and causal inference models using Python and Pyspark to predict user behavior and provide ...

MELE Associates

Data Evaluator/Analyst

Washington, DC · On-site +1

$100/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Continuing education in econometrics, causal inference, or data visualization tools strongly ... Benefits MELE Offers · Hybrid remote/office work environment. · Employer-paid employee Medical ...

Teladoc Health

Data Scientist III

New York, NY · On-site +1

$219K/yr

Telecommuting: 100% Remote. REQUIREMENTS: This position requires a bachelor's degree or foreign ... and causal inference models using Python and Pyspark to predict user behavior and provide ...

DocuSign

Senior Machine Learning Engineer

Seattle, WA · On-site +1

$186K - $300K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... causal inference, decision transformers) into production-hardened AIOps tools Job Designation Hybrid: Employee divides their time between in-office and remote work. Access to an office location is ...

Chaos Labs

Senior AI Data Scientist

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Apply statistical modeling, experimentation, and causal inference to guide product development and ... Based in NYC and able to work from our Brooklyn office, or remote within the U.S. with the ability ...

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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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Remote Causal Inference jobs near you
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.

VP, Data Science

The Knot Worldwide

Remote

Full-time

Re-posted 16 days ago

Job description

ABOUT THE ROLE AND OUR TEAM:The VP of Data Science & Analytics will lead experimentation, business intelligence, and advanced analytics across our global two-sided marketplace. This role is accountable for driving measurable business outcomes - including growth in couple engagement, marketplace liquidity, vendor ROI, and long-term customer value.

You will own the company's experimentation strategy and enterprise BI function, ensuring executives and frontline teams alike have trusted, actionable insights. This role will partner closely with data engineering to build reliable, scalable end-to-end data pipelines that power experimentation, analytics, and executive reporting.

You will be the architect of our measurement engine - turning data into durable competitive advantage in a complex, two-sided marketplace. This is a highly visible leadership role reporting to the CPO and partnering across Product, Engineering, Finance, Marketing, and Sales.

RESPONSIBILITIES:Experimentation & Measurement
  • Define and scale experimentation strategy across a complex two-sided marketplace (couples and vendors).
  • Ensure rigorous A/B testing, incrementality measurement, and causal inference across growth, monetization, ranking, and lifecycle initiatives.
  • Build frameworks that account for cross-side marketplace effects and long-term LTV impact.
  • Establish clear accountability for experimentation outcomes tied to business performance.
Enterprise BI & Analytics
  • Own executive dashboards and enterprise reporting from Board-level metrics to team-level KPIs.
  • Develop and maintain a trusted metrics layer with clear governance and definitions.
  • Improve forecasting, driver trees, and performance diagnostics tied to CPAs, GMV, and marketplace health.
  • Enable scalable self-serve analytics capabilities across the organization.
Advanced Data Science
  • Lead applied data science across personalization, marketplace dynamics, pricing, segmentation, and lifecycle modeling.
  • Develop robust LTV and marketplace health models.
  • Partner with ML teams to ensure strong model evaluation and business impact measurement.
Cross-Functional Partnership
  • Partner closely with Data Engineering to design scalable experimentation infrastructure and data pipelines.
  • Influence architecture decisions without directly owning DE.
  • Serve as a strategic advisor to executive leadership on data-driven growth strategy.
SUCCESSFUL CANDIDATES HAVE: Experience
  • 15+ years in Data Science, Analytics, or quantitative leadership roles.
  • Experience leading BI and analytics in a large, global organization.
  • Demonstrated success operating within a two-sided marketplace or platform business.
  • Proven experience owning experimentation strategy and delivering measurable business impact.
  • Experience partnering with C-suite and Board stakeholders.
Technical Expertise
  • Deep knowledge of experimental design, causal inference, and statistical modeling.
  • Experience building scalable experimentation and analytics ecosystems.
  • Strong fluency in SQL and modern data tools (e.g., Snowflake, Looker, Sigma, Tableau).
  • Strong understanding of marketplace unit economics and LTV modeling.
Leadership
  • Experience building and scaling high-performing Data Science and Analytics teams.
  • Strong cross-functional collaboration skills in matrixed environments.
  • Ability to translate complex quantitative analysis into clear business insights.

WORK MODEL:

This role is fully remote and not tied to any specific office location. While there are no regular in-office requirements, we encourage our remote team members to gather intentionally for key company and team events to stay connected and engaged.

#LI-Hybrid #executive-track

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