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Manager Causal Inference Jobs (NOW HIRING)

Intuit

Senior Data Scientist

San Diego, CA · On-site

$149K - $202K/yr

You will partner directly with cross-functional teams-across Product Management, Engineering, Data ... Causal Inference: Lead causal inference and econometric analyses to understand and influence key ...

Intuit

Senior Data Scientist

Mountain View, CA · On-site

$149K - $202K/yr

You will partner directly with cross-functional teams-across Product Management, Engineering, Data ... Causal Inference: Lead causal inference and econometric analyses to understand and influence key ...

Intuit

Senior Data Scientist

San Diego, CA · On-site

$149K - $202K/yr

You will partner directly with cross-functional teams--across Product Management, Engineering, Data ... Causal Inference: Lead causal inference and econometric analyses to understand and influence key ...

Intuit

Senior Data Scientist

Mountain View, CA · On-site

$149K - $202K/yr

You will partner directly with cross-functional teams--across Product Management, Engineering, Data ... Causal Inference: Lead causal inference and econometric analyses to understand and influence key ...

Lyft

Data Science Manager, Mapping

San Francisco, CA · On-site

Ensure robust experimentation and causal inference methodologies are applied to measure the impact ... years of management experience building, leading, and mentoring data science teams * Strong ...

Intuit

Senior Data Scientist

San Diego, CA · On-site

$149K - $202K/yr

You will partner directly with cross-functional teams-across Product Management, Engineering, Data ... Causal Inference: Lead causal inference and econometric analyses to understand and influence key ...

Intuit

Staff Data Scientist

San Diego, CA · On-site

$185K - $251K/yr

You will partner directly with cross-functional leaders-across Product Management, Engineering ... Causal Inference: Lead causal inference and econometric analyses to understand and influence key ...

Intuit

Staff Data Scientist

Mountain View, CA

$185K - $251K/yr

You will partner directly with cross-functional leaders--across Product Management, Engineering ... Causal Inference: Lead causal inference and econometric analyses to understand and influence key ...

Intuit

Staff Data Scientist

San Diego, CA · On-site

$185K - $251K/yr

You will partner directly with cross-functional leaders--across Product Management, Engineering ... Causal Inference: Lead causal inference and econometric analyses to understand and influence key ...

Intuit

Staff Data Scientist

Mountain View, CA · On-site

$185K - $251K/yr

You will partner directly with cross-functional leaders-across Product Management, Engineering ... Causal Inference: Lead causal inference and econometric analyses to understand and influence key ...

Intuit

Staff Data Scientist

San Diego, CA · On-site

$185K - $251K/yr

You will partner directly with cross-functional leaders-across Product Management, Engineering ... Causal Inference: Lead causal inference and econometric analyses to understand and influence key ...

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How much do manager causal inference jobs pay per year?

As of Jul 13, 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:
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Manager Causal Inference jobs near you
Infographic showing various Manager Causal Inference job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 86% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $104,575 per year, or $50.3 per hour.
Senior Data Scientist

Senior Data Scientist

Intuit

San Diego, CA • On-site

$149K - $202K/yr

Full-time

Re-posted 7 hours ago

Intuit rating

8.3

Company rating: 8.3 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

85th of 209 rated software companies

Job description

Join the Intuit Customer Success team as a Senior Data Scientist within our Expert Network. In this role, you will help drive the AI strategy for our product support and live experiences. You'll be a key member in optimizing our greatest resource, our people, through innovating, experimenting, learning, and scaling AI-driven solutions.

In this role you will bring cutting-edge data science techniques to influence our Customer Success strategy and drive business growth at scale. You will partner directly with cross-functional teams-across Product Management, Engineering, Data, Customer Success, and Service Delivery-to architect the analytical frameworks and modeling solutions that drive our Expert Network and our AI Driven platform.

This role requires a foundation in statistical methods, machine learning, experimentation design, and causal inference, coupled with a demonstrated ability to lead with influence, navigate ambiguity, and execute with precision.


Responsibilities


Advanced Predictive Modeling & Machine Learning: Design, build, and deploy scalable models-including ensemble methods, time-series forecasting, LTV modeling, deep learning architectures, and uplift modeling-to uncover high-impact growth opportunities and drive personalization.

Experimentation Science & Design: Own the end-to-end experimentation pipeline-from hypothesis generation and design (e.g., CUPED, multi-armed bandits, Bayesian Inference) to rigorous causal interpretation and impact quantification.

Causal Inference: Lead causal inference and econometric analyses to understand and influence key levers of business growth with a crisp understanding of incremental impact.

Metric Design & Impact Attribution: Define and evolve success metrics using state-of-the-art measurement frameworks, ensuring that business KPIs are both predictive and causally informative.

Communication: Deliver compelling, data-driven narratives to VP and Director stakeholders; distill complex findings into clear, actionable strategy recommendations with quantified business impact.

Strategic Influence: Demonstrate extreme ownership across cross-functional initiatives, influencing product vision and delivering measurable impact through analytics innovation.


Qualifications


Master's degree in Computer Science, Statistics, Econometrics, Data Science, or a quantitative field.

4+ years of progressive experience in applied data science roles with increasing scope and complexity.

Proven experience applying state-of-the-art machine learning and causal inference methodologies in high-impact, product-facing applications.

Expert-level proficiency in SQL as well as Python or R

Demonstrated success integrating ML models into production environments, especially within personalization, recommendation, or AI-assisted UX.

Deep understanding of Generative AI and other evolving technologies to accelerate insights

Deep knowledge of experimental design, including non-standard A/B testing methods, uplift modeling, and sequential testing frameworks.

Hands-on experience with data visualization tools like Tableau or Qlik.

Strong communication and storytelling abilities-adept at translating sophisticated analytics into strategic guidance.


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Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

The expected base pay range for this position is:
San Diego $149,500 - $202,500
Mountain View, CA $162,500- $220,000Employment Type: Full-Time

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