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Manager Causal Inference Jobs (NOW HIRING)

Proven ability to manage end-to-end experimentation and causal inference analyses, from initial requirements to impactful outcomes * Advanced skills in Python and/or R-including development of ...

Dive deep into large-scale data sources to uncover opportunities for Causal Inference automation, predictive methods, and quantitative modeling. Collaborate with product managers, data scientists ...

Dive deep into large-scale data sources to uncover opportunities for Causal Inference automation, predictive methods, and quantitative modeling. Collaborate with product managers, data scientists ...

What you'll be doing * Design, build, and productionize a causal inference platform that ... Work cross-functionally with Data Engineering, Product Management, and Core Analytics to translate ...

What you'll be doing * Design, build, and productionize a causal inference platform that ... Work cross-functionally with Data Engineering, Product Management, and Core Analytics to translate ...

What you'll be doing * Design, build, and productionize a causal inference platform that ... Work cross-functionally with Data Engineering, Product Management, and Core Analytics to translate ...

What you'll do...We are looking for a Senior Manager, Advanced Analytics to lead high-impact ... Experience with experimentation, causal inference, forecasting, econometric modeling, or marketing ...

What you'll do...We are looking for a Senior Manager, Advanced Analytics to lead high-impact ... Experience with experimentation, causal inference, forecasting, econometric modeling, or marketing ...

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Manager Causal Inference information

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How much do manager causal inference jobs pay per year?

As of Aug 2, 2026, the average yearly pay for manager causal inference in the United States is $104,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $116,500.00 per year, depending on experience, location, and employer.

How does a Manager of Causal Inference typically collaborate with cross-functional teams to drive impactful business insights?

Managers of Causal Inference frequently work alongside data scientists, product managers, engineers, and business leaders to design and execute experiments that reveal the true impact of business decisions. They translate complex statistical findings into actionable recommendations, ensuring stakeholders understand both the methodology and implications. Regularly, they lead discussions on experiment design, data collection strategies, and result interpretation, fostering a culture of evidence-based decision-making across the organization.

What does a Manager Causal Inference do?

A Manager Causal Inference leads teams that analyze data to determine cause-and-effect relationships, often in business, healthcare, or technology settings. They design experiments or use statistical methods to understand how different factors influence outcomes, helping organizations make data-driven decisions. This role typically involves managing projects, overseeing analysts or data scientists, and communicating findings to stakeholders. Strong expertise in statistics, data analysis, and leadership is essential for success in this position.

What are the key skills and qualifications needed to thrive as a Manager of Causal Inference, and why are they important?

To thrive as a Manager of Causal Inference, you need a deep understanding of statistics, econometrics, and experimental design, typically supported by an advanced degree in a quantitative field. Proficiency with data analysis tools such as R, Python, SQL, and specialized causal inference libraries, along with experience using data visualization and project management platforms, is crucial. Strong leadership, communication, and critical thinking skills help you effectively guide teams and translate complex findings to stakeholders. These skills ensure rigorous, actionable insights that drive strategic decision-making and organizational impact.
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What cities are hiring for Manager Causal Inference jobs? Cities with the most Manager Causal Inference job openings:
What are the most commonly searched types of Causal Inference jobs? The most popular types of Causal Inference jobs are:
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Infographic showing various Manager Causal Inference job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 86% Full Time, 10% Part Time, 1% Contract, and 2% Summer. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $104,575 per year, or $50.3 per hour.

Senior Data Analyst - Experimentation & Causal Inference

Numentica LLC

Tustin, CA โ€ข Remote

$40 - $50/hr

Full-time

Posted 11 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\