Mountain View, CA · On-site
$185K - $251K/yr
This role demands a strong foundation in statistical methods, machine learning, experimentation design, and causal inference, coupled with a demonstrated ability to lead with influence, navigate ...
Mountain View, CA · On-site
$185K - $251K/yr
This role demands a strong foundation in statistical methods, machine learning, experimentation design, and causal inference, coupled with a demonstrated ability to lead with influence, navigate ...
Applying offline policy evaluation, counterfactual evaluation, causal inference, or related ... Experience building machine learning systems for large-scale digital platforms, such as creator ...
Applying offline policy evaluation, counterfactual evaluation, causal inference, or related ... Experience building machine learning systems for large-scale digital platforms, such as creator ...
Broad experience in machine learning and statistical methods, in at least one of the following areas: experimental design, causal inference, machine learning, reinforcement learning, deep learning.
Broad experience in machine learning and statistical methods, in at least one of the following areas: experimental design, causal inference, machine learning, reinforcement learning, deep learning.
We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and ...
We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and ...
San Diego, CA · On-site
$185K - $251K/yr
This role demands a strong foundation in statistical methods, machine learning, experimentation design, and causal inference, coupled with a demonstrated ability to lead with influence, navigate ...
San Diego, CA · On-site
$185K - $251K/yr
This role demands a strong foundation in statistical methods, machine learning, experimentation design, and causal inference, coupled with a demonstrated ability to lead with influence, navigate ...
San Jose, CA · On-site
Design, build, evaluate, and improve machine learning and AI systems in production environments ... Statistics, experimentation, causal inference, and working with real-world datasets * Systems ...
San Jose, CA · On-site
Design, build, evaluate, and improve machine learning and AI systems in production environments ... Statistics, experimentation, causal inference, and working with real-world datasets * Systems ...
San Jose, CA · On-site
$136K - $292K/yr
... causal inference, machine learning models, etc. - Proficient in SQL, familiar with one or more tools in Python/R Preferred Qualifications - Strong logical thinking ability, self-driven, and strong ...
San Jose, CA · On-site
$136K - $292K/yr
... causal inference, machine learning models, etc. - Proficient in SQL, familiar with one or more tools in Python/R Preferred Qualifications - Strong logical thinking ability, self-driven, and strong ...
We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. Aligned and ...
We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. Aligned and ...
We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and ...
We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and ...
Carlsbad, CA · On-site
Broad experience in machine learning and statistical methods, in at least one of the following areas: experimental design, causal inference, machine learning, reinforcement learning, deep learning.
Carlsbad, CA · On-site
Broad experience in machine learning and statistical methods, in at least one of the following areas: experimental design, causal inference, machine learning, reinforcement learning, deep learning.
Irvine, CA · On-site
$180K - $220K/yr
... Machine Learning, Statistics, or a related quantitative field. * Deep Expertise in ML & AI: Strong foundation in deep learning, NLP, generative AI, and causal inference. * Programming & Frameworks:
Irvine, CA · On-site
$180K - $220K/yr
... Machine Learning, Statistics, or a related quantitative field. * Deep Expertise in ML & AI: Strong foundation in deep learning, NLP, generative AI, and causal inference. * Programming & Frameworks:
Lead and grow a high-performing team of data scientists with diverse backgrounds, including optimization, experimentation, machine learning and causal inference * Define and drive the data science ...
Lead and grow a high-performing team of data scientists with diverse backgrounds, including optimization, experimentation, machine learning and causal inference * Define and drive the data science ...
We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and ...
We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and ...
... causal inference, or machine learning models in a production environment. • Proficiency with modern data stack tools (SQL, Python, and cloud data warehouses like Snowflake or Databricks). • ...
... causal inference, or machine learning models in a production environment. • Proficiency with modern data stack tools (SQL, Python, and cloud data warehouses like Snowflake or Databricks). • ...
San Francisco, CA · On-site
$127K - $173K/yr
... causal intelligence will be the most important technical breakthrough for civilization. We look for infrastructure engineers who are excited to tackle unsolved problems. Our training and inference ...
San Francisco, CA · On-site
$127K - $173K/yr
... causal intelligence will be the most important technical breakthrough for civilization. We look for infrastructure engineers who are excited to tackle unsolved problems. Our training and inference ...
You excel at developing interpretable machine learning approaches , such as variational inference and causal modeling methods * You are excited about building and leading a technical team while ...
You excel at developing interpretable machine learning approaches , such as variational inference and causal modeling methods * You are excited about building and leading a technical team while ...
$320K - $380K/yr
Drive the development of statistical models, machine learning solutions, experimentation frameworks, and causal inference methodologies to improve product performance and customer outcomes
New
$320K - $380K/yr
Drive the development of statistical models, machine learning solutions, experimentation frameworks, and causal inference methodologies to improve product performance and customer outcomes
New
Apply advanced causal inference methods when experimentation isn't feasible or to inform test ... Broad and applied knowledge of statistical techniques and machine learning modeling methods.
Apply advanced causal inference methods when experimentation isn't feasible or to inform test ... Broad and applied knowledge of statistical techniques and machine learning modeling methods.
... and causal inference to accurately measure impact.Able to design end-to-end ML solutions : framing the problem, choosing data sources, selecting algorithms, and defining evaluation strategy.
... and causal inference to accurately measure impact.Able to design end-to-end ML solutions : framing the problem, choosing data sources, selecting algorithms, and defining evaluation strategy.
You excel at developing interpretable machine learning approaches , such as variational inference and causal modeling methods * You are excited about building and leading a technical team while ...
You excel at developing interpretable machine learning approaches , such as variational inference and causal modeling methods * You are excited about building and leading a technical team while ...
| Aspect | Causal Inference Machine Learning Postdoctoral | Data Scientist |
|---|---|---|
| Required Credentials | PhD in statistics, machine learning, or related field | Bachelor's or Master's in data science, computer science, or related field |
| Work Environment | Academic research, research labs, universities | Corporate, tech companies, startups |
| Industry Usage | Research, academia, specialized industry projects | Business analytics, product development, data-driven decision making |
| Common Search/Comparison | Yes | Yes |
The main difference is that Causal Inference Machine Learning Postdoctoral roles focus on academic research and developing new methods in causal inference, often requiring a PhD. Data Scientists typically work in industry, applying existing models to solve business problems, with a focus on data analysis and visualization. While both roles involve machine learning, the postdoctoral position emphasizes research and theory, whereas data science emphasizes practical application.
8.3
Based on 87 frontline employees who took The Breakroom Quiz
85th of 209 rated software companies
Join the Intuit Customer Success team as a Staff Data Scientist within our Expert Network.
In this role, you will help shape the AI strategy for our product support and live experiences. You’ll be central to optimizing our greatest resource, our people, through innovating, experimenting, learning, pivoting, and scaling AI-driven solutions.
This is a mission-critical role requiring a strategic thought partner who brings cutting-edge data science techniques and deep domain expertise to influence our Customer Success strategy and drive business growth at scale. You will partner directly with cross-functional leaders—across Product Management, Engineering, Data, Customer Success, and Service Delivery—to architect the analytical frameworks and modeling solutions that shape our Expert Network and our AI Driven platform.
This role demands a strong 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.
ML Engineering & Native AI: Collaborate with the Central AI team to productionalize models that enhance personalization and automation throughout the user experience.
Thought Leadership & Mentorship: Mentor senior data scientists and establish best practices in experimental design, model validation, and responsible AI usage; drive a culture of analytical excellence and scientific rigor.
Strategic Influence: Demonstrate extreme ownership across cross-functional initiatives, influencing product vision and delivering measurable impact through analytics innovation.
Qualifications
Master’s or PhD degree in Computer Science, Statistics, Econometrics, Data Science, or a quantitative field.
7+ 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. Application of GenAI at scale in a production environment
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.
Proven leadership in mentoring technical talent and driving cross-team alignment through data science innovation.
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:
