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Causal Inference Jobs in California (NOW HIRING)

Intuit

Senior Data Scientist

Mountain View, CA

$149K - $202K/yr

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 ...

Intuit

Senior Data Scientist

San Diego, CA

$149K - $202K/yr

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 ...

Intuit

Senior Data Scientist

San Diego, CA · On-site

$149K - $202K/yr

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 ...

Twitch

Data Scientist

San Francisco, CA · On-site

Apply causal inference methods where experimentation isn't feasible * Develop models and analyses that inform pricing, segmentation, and revenue optimization * Design, run, and analyze A/B ...

New

Intuit

Staff Data Scientist

San Diego, CA · On-site

$185K - $251K/yr

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 ...

Intuit

Staff Data Scientist

San Diego, CA

$185K - $251K/yr

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 ...

Intuit

Staff Data Scientist

Mountain View, CA · On-site

$185K - $251K/yr

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 ...

Intuit

Staff Data Scientist

Mountain View, CA

$185K - $251K/yr

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 ...

Apple

Applied ML Science Manager

Cupertino, CA · On-site

We are currently seeking an experienced and passionate Applied ML Science Manager to lead a dynamic team, whose goal is to provide innovative products at the intersection of causal inference ...

Intuit

Staff Data Scientist

San Diego, CA · On-site

$185K - $251K/yr

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 ...

Walmart

Senior Manager, Advanced Analytics

San Leandro, CA · On-site

$117K - $234K/yr

The ideal candidate is a strong analytics leader with deep experience in experimentation, causal inference, forecasting, and business partnering. They should be comfortable operating in ambiguous ...

Walmart

Senior Manager, Advanced Analytics

Union City, CA · On-site

$117K - $234K/yr

The ideal candidate is a strong analytics leader with deep experience in experimentation, causal inference, forecasting, and business partnering. They should be comfortable operating in ambiguous ...

Walmart

Senior Manager, Advanced Analytics

Oakland, CA · On-site

$117K - $234K/yr

The ideal candidate is a strong analytics leader with deep experience in experimentation, causal inference, forecasting, and business partnering. They should be comfortable operating in ambiguous ...

Walmart

Senior Manager, Advanced Analytics

Cupertino, CA · On-site

$117K - $234K/yr

The ideal candidate is a strong analytics leader with deep experience in experimentation, causal inference, forecasting, and business partnering. They should be comfortable operating in ambiguous ...

Walmart

Senior Manager, Advanced Analytics

Newark, CA · On-site

$117K - $234K/yr

The ideal candidate is a strong analytics leader with deep experience in experimentation, causal inference, forecasting, and business partnering. They should be comfortable operating in ambiguous ...

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All JobsCausal Inference JobsCausal Inference Jobs in California

Causal Inference information

See California salary details

$54.3K

$97.9K

$133.7K

How much do causal inference jobs pay per year?

As of Jul 11, 2026, the average yearly pay for causal inference in California is $97,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,900.00 and $107,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Causal Inference position, and why are they important?

Success in a Causal Inference role requires strong statistical knowledge, expertise in experimental and quasi-experimental methodologies, and advanced proficiency in programming languages like R or Python, typically acquired with an advanced degree in statistics, economics, data science, or a related field. Familiarity with specialized statistical software (such as Stata, SAS, or causal inference packages in R/Python), as well as experience with large datasets and machine learning tools, is highly valued. Excellent problem-solving abilities, clear communication, and collaboration skills are essential soft skills for effectively conveying complex findings to diverse teams. These competencies are critical to producing reliable insights that guide evidence-based decision-making in business, healthcare, or policy settings.

What are some common challenges faced in a Causal Inference position?

Professionals in Causal Inference often encounter challenges such as dealing with confounding factors, addressing selection bias, and ensuring the validity of assumptions behind statistical models. They must carefully design experiments or leverage observational data while staying vigilant about potential data quality issues and model limitations. Collaboration with subject matter experts, data engineers, and business stakeholders is common to ensure accurate contextualization of results. Overcoming these challenges requires a mix of technical acumen and strong communication skills to translate complex analyses into actionable recommendations.

What is a Causal Inference job?

A Causal Inference job involves using statistical and computational methods to determine cause-and-effect relationships from data. Professionals in this field work with observational and experimental data to identify causal impacts, often in domains like economics, healthcare, social sciences, and technology. They apply techniques such as propensity score matching, instrumental variables, and difference-in-differences to ensure rigorous analysis. These roles are commonly found in academia, policy research, and data science teams within tech and finance companies. Strong skills in statistics, programming (e.g., Python, R), and experimental design are typically required.

What are the most commonly searched types of Causal Inference jobs in California? The most popular types of Causal Inference jobs in California are:
What are popular job titles related to Causal Inference jobs in California? For Causal Inference jobs in California, the most frequently searched job titles are:
What job categories do people searching Causal Inference jobs in California look for? The top searched job categories for Causal Inference jobs in California are:
What cities in California are hiring for Causal Inference jobs? Cities in California with the most Causal Inference job openings:
Causal Inference jobs near you
Infographic showing various Causal Inference job openings in California as of July 2026, with employment types broken down into 86% Full Time, 12% Part Time, 1% Temporary, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $97,931 per year, or $47.1 per hour.
Senior Data Scientist

Senior Data Scientist

Intuit

Mountain View, CA

$149K - $202K/yr

Full-time

Re-posted 28 days 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

Overview

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.


Footer

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- $220,000

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