About the role
Category Data
Location Toronto, Canada
Job ID 18676
Company Overview
Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job 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-function
al 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,
experimentatio
n 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-includ
ing ensemble methods, time-series forecasting, LTV modeling, deep learning
architectures,
and uplift modeling-to uncover high-impact growth opportunities and drive
personalizatio
n.
Experimentatio
n Science & Design: Own the end-to-end
experimentatio
n pipeline-from hypothesis generation and design (e.g., CUPED, multi-armed bandits, Bayesian Inference) to rigorous causal interpretation and impact q
uantification.
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-a
rt 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
recommendation
s with quantified business impact.
Strategic Influence: Demonstrate extreme ownership across
cross-function
al 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.
- 7+ years of progressive experience in applied data science roles with increasing scope and complexity.
- Proven experience applying
state-of-the-a
rt 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
personalizatio
n, r
ecommendation,
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—adep
t at translating sophisticated analytics into strategic guidance.
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:
About Intuit
Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we work tirelessly to find new, innovative ways to deliver on this belief.
We encourage conversations on this page and will not delete comments that follow our terms of use. In order to keep this a safe community, the below posts may be removed: Repeated posts of the same content, spam or posts from fake accounts or profiles, offensive language or material, threats to others in the community, posts deliberately aimed to have a negative effect on the community or conversations.
About the role
Category Data
Location Toronto, Canada
Job ID 18676
Company Overview
Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job 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-function
al 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,
experimentatio
n 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-includ
ing ensemble methods, time-series forecasting, LTV modeling, deep learning
architectures,
and uplift modeling-to uncover high-impact growth opportunities and drive
personalizatio
n.
Experimentatio
n Science & Design: Own the end-to-end
experimentatio
n pipeline-from hypothesis generation and design (e.g., CUPED, multi-armed bandits, Bayesian Inference) to rigorous causal interpretation and impact q
uantification.
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-a
rt 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
recommendation
s with quantified business impact.
Strategic Influence: Demonstrate extreme ownership across
cross-function
al 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.
- 7+ years of progressive experience in applied data science roles with increasing scope and complexity.
- Proven experience applying
state-of-the-a
rt 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
personalizatio
n, r
ecommendation,
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—adep
t at translating sophisticated analytics into strategic guidance.
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:
About Intuit
Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we work tirelessly to find new, innovative ways to deliver on this belief.
We encourage conversations on this page and will not delete comments that follow our terms of use. In order to keep this a safe community, the below posts may be removed: Repeated posts of the same content, spam or posts from fake accounts or profiles, offensive language or material, threats to others in the community, posts deliberately aimed to have a negative effect on the community or conversations.