Staff Data Scientist (Expert Network)

Intuit Inc.; Toronto; On-site; CAD 100,000 - 125,000; Full time

Job summary

A leading financial software company is seeking a Senior Data Scientist in Toronto. You will drive the AI strategy, optimize product support experiences, and collaborate across teams to develop analytical frameworks. The ideal candidate has a Master’s degree and over 7 years of experience in data science, with proficiency in machine learning and tools like SQL and Python. This role includes responsibilities in predictive modeling and experimentation science, offering competitive compensation and bonuses.

Benefits

Cash bonus

Equity rewards

Comprehensive benefits package

Qualifications

• 7+ years of experience in applied data science roles.
• Proven experience with machine learning and causal inference methodologies.
• Hands-on experience with data visualization tools.

Responsibilities

• Design, build, and deploy scalable predictive models.
• Own the experimentation pipeline from design to impact quantification.
• Deliver data-driven narratives to stakeholders.

Skills

Predictive Modeling

Machine Learning

SQL

Python

Communication

Education

Master’s degree in a quantitative field

Tools

Tableau

Qlik

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.
• 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 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 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: