Senior Data Scientist
San Diego, CA · On-site
Causal Inference: Lead causal inference and econometric analyses to understand and influence key ... Qualifications Master's degree in Computer Science, Statistics, Econometrics, Data Science, or a ...
Senior Data Scientist
San Diego, CA · On-site
Causal Inference: Lead causal inference and econometric analyses to understand and influence key ... Qualifications Master's degree in Computer Science, Statistics, Econometrics, Data Science, or a ...
Senior Staff Data Scientist
New York, NY · On-site
Champion business-impact-driven data science, integrating causal inference, experimentation, risk-aware modeling, and scalable production ML systems that learn and adapt. What You Bring to the Table ...
Senior Staff Data Scientist
New York, NY · On-site
Champion business-impact-driven data science, integrating causal inference, experimentation, risk-aware modeling, and scalable production ML systems that learn and adapt. What You Bring to the Table ...
Champion business-impact-driven data science, integrating causal inference, experimentation, risk-aware modeling, and scalable production ML systems that learn and adapt. What You Bring to the Table ...
Champion business-impact-driven data science, integrating causal inference, experimentation, risk-aware modeling, and scalable production ML systems that learn and adapt. What You Bring to the Table ...
Champion business-impact-driven data science, integrating causal inference, experimentation, risk-aware modeling, and scalable production ML systems that learn and adapt. What You Bring to the Table ...
Quick apply
Champion business-impact-driven data science, integrating causal inference, experimentation, risk-aware modeling, and scalable production ML systems that learn and adapt. What You Bring to the Table ...
Bachelor's degree or equivalent. * 5+ years of experience in a data science experimentation-focused role (3+ with PhD). * Deep expertise in A/B testing and causal inference, including quasi ...
Bachelor's degree or equivalent. * 5+ years of experience in a data science experimentation-focused role (3+ with PhD). * Deep expertise in A/B testing and causal inference, including quasi ...
Applied AI/ML & Causal Inference - Senior Associate
Jersey City, NJ · On-site
$128K - $195K/yr
Master's or PhD in Computer Science, Statistics, Economics, Applied Math, Data Science, or a ... Deep expertise in causal inference methods: potential outcomes framework, propensity score methods ...
Applied AI/ML & Causal Inference - Senior Associate
Jersey City, NJ · On-site
$128K - $195K/yr
Master's or PhD in Computer Science, Statistics, Economics, Applied Math, Data Science, or a ... Deep expertise in causal inference methods: potential outcomes framework, propensity score methods ...
Sr. Analyst, Data Science
Fort Mill, SC · On-site
$85K - $143K/yr
This role is ideal for a data scientist who is equally comfortable writing code, building models ... Causal Inference & Experimentation * Design and analyze A/B tests and observational studies to ...
Sr. Analyst, Data Science
Fort Mill, SC · On-site
$85K - $143K/yr
This role is ideal for a data scientist who is equally comfortable writing code, building models ... Causal Inference & Experimentation * Design and analyze A/B tests and observational studies to ...
We are looking for a talented Senior Data Scientist with strong statistics and causal inference experience to help us understand how content promotion and personalization algorithms come together.
We are looking for a talented Senior Data Scientist with strong statistics and causal inference experience to help us understand how content promotion and personalization algorithms come together.
Sr. Analyst, Data Science
Fort Mill, SC · On-site
$85K - $143K/yr
This role is ideal for a data scientist who is equally comfortable writing code, building models ... Causal Inference & Experimentation * Design and analyze A/B tests and observational studies to ...
Sr. Analyst, Data Science
Fort Mill, SC · On-site
$85K - $143K/yr
This role is ideal for a data scientist who is equally comfortable writing code, building models ... Causal Inference & Experimentation * Design and analyze A/B tests and observational studies to ...
Bachelor's degree or equivalent. * 5+ years of experience in a data science experimentation-focused role (3+ with PhD). * Deep expertise in A/B testing and causal inference, including quasi ...
Bachelor's degree or equivalent. * 5+ years of experience in a data science experimentation-focused role (3+ with PhD). * Deep expertise in A/B testing and causal inference, including quasi ...
Sr. Analyst, Data Science
$85K - $143K/yr
This role is ideal for a data scientist who is equally comfortable writing code, building models ... Causal Inference & Experimentation * Design and analyze A/B tests and observational studies to ...
Sr. Analyst, Data Science
$85K - $143K/yr
This role is ideal for a data scientist who is equally comfortable writing code, building models ... Causal Inference & Experimentation * Design and analyze A/B tests and observational studies to ...
Develop causal inference methodologies to understand true incrementality of product changes ... Established product data science roadmap aligned with business priorities; shipped at least one ...
Quick apply
Develop causal inference methodologies to understand true incrementality of product changes ... Established product data science roadmap aligned with business priorities; shipped at least one ...
OR · On-site
Develop causal inference methodologies to understand true incrementality of product changes ... Experience building data science teams from scratch or through periods of rapid growth * Prior work ...
Sr. Analyst, Data Science
$85K - $143K/yr
This role is ideal for a data scientist who is equally comfortable writing code, building models ... Causal Inference & Experimentation * Design and analyze A/B tests and observational studies to ...
Sr. Analyst, Data Science
$85K - $143K/yr
This role is ideal for a data scientist who is equally comfortable writing code, building models ... Causal Inference & Experimentation * Design and analyze A/B tests and observational studies to ...
Sr. Analyst, Data Science
$85K - $143K/yr
This role is ideal for a data scientist who is equally comfortable writing code, building models ... Causal Inference & Experimentation * Design and analyze A/B tests and observational studies to ...
Sr. Analyst, Data Science
$85K - $143K/yr
This role is ideal for a data scientist who is equally comfortable writing code, building models ... Causal Inference & Experimentation * Design and analyze A/B tests and observational studies to ...
Experience: 6+ years of professional experience in an applied data science, economics, or product analytics role, with a proven track record of leveraging experimentation and causal inference methods ...
Experience: 6+ years of professional experience in an applied data science, economics, or product analytics role, with a proven track record of leveraging experimentation and causal inference methods ...
Develop causal inference methodologies to understand true incrementality of product changes ... Established product data science roadmap aligned with business priorities; shipped at least one ...
Quick apply
Develop causal inference methodologies to understand true incrementality of product changes ... Established product data science roadmap aligned with business priorities; shipped at least one ...
... Data Science, or a related quantitative field. * Deep expertise in causal inference methods ... potential outcomes framework, propensity score methods, instrumental variables, difference-in ...
... Data Science, or a related quantitative field. * Deep expertise in causal inference methods ... potential outcomes framework, propensity score methods, instrumental variables, difference-in ...
Develop causal inference methodologies to understand true incrementality of product changes ... Established product data science roadmap aligned with business priorities; shipped at least one ...
Develop causal inference methodologies to understand true incrementality of product changes ... Established product data science roadmap aligned with business priorities; shipped at least one ...
Develop causal inference methodologies to understand true incrementality of product changes ... Established product data science roadmap aligned with business priorities; shipped at least one ...
Quick apply
Develop causal inference methodologies to understand true incrementality of product changes ... Established product data science roadmap aligned with business priorities; shipped at least one ...
Causal Inference Data Science information
See salary details
$46K - $64K
1% of jobs
$64K - $81.9K
2% of jobs
$81.9K - $99.9K
4% of jobs
$99.9K - $117.8K
9% of jobs
$133.1K is the 25th percentile. Wages below this are outliers.
$117.8K - $135.8K
11% of jobs
$135.8K - $153.7K
7% of jobs
The median wage is $159.5K / yr.
$153.7K - $171.7K
50% of jobs
$171.7K - $189.6K
2% of jobs
$189.6K - $207.6K
1% of jobs
$207.6K - $225.5K
0% of jobs
$225.5K - $243.5K
13% of jobs
$46K
$165K
$243.5K
How much do causal inference data science jobs pay per year?
As of Jul 8, 2026, the average yearly pay for causal inference data science in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.
Intuit rating
8.3
Based on 87 frontline employees who took The Breakroom Quiz
79th of 204 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.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may 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 ). 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:
Bay Area California $ 162,500- 220,000
Southern California $ 149,500- 202,500
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.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may 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 ). 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:
Bay Area California $ 162,500- 220,000
Southern California $ 149,500- 202,500