Job Overview

Come join the Marketing team in lntuit’s Global Business Solution Group and help us solve our biggest customer and business challenges as the next Marketing Strategy and Planning Leader for our Money product portfolio. You will be a key thought partner and accountable leader who accelerates Money ecosystem growth at scale by establishing and tracking key success metrics and ensuring resources are allocated effectively. By leveraging proven strategic frameworks and partnering with cross-functional stakeholders, you will advance and measure key initiatives that drive high growth and sustainable change across GTM channels and programs. A relentless curiosity, proven record in driving organizational impact, and a level of ease in interacting with senior management on a regular basis will drive success in this role. You will bring a startup mindset and the ability to manage multiple priorities while dealing effectively with ambiguity and change. You must be a team player and passionate about making a difference. If you are looking for the next step in your career journey, this exciting and fast-paced role provides you with a fantastic opportunity to help shape our business and drive transformational change.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach

Responsibilities

• Strategy Development: Able to quickly identify great ideas and high-impact opportunities that helps shape organizational strategy, enhance operating systems, build business processes and improve business efficiency. Shape clear and compelling visual and written narratives that distill complex information and concepts simply and concisely, while ensuring alignment with core principles and business strategies for a variety of audiences
• Operational Planning: Shape and manage organizational operating frameworks that drive clarity, accountability, and move work forward via well-defined roadmaps and success measures. Participate in and/or drive mechanisms, including 3/1 year annual planning, KPI reviews, headcount/coverage strategies, budget management, and operational reporting.
• Connect Strategy to Execution: Ensure prioritization of and focus on what matters most in order to help our teams reach committed outcomes. Leverage network to understand interdependencies and risks for the work, engaging partners to execute plans and resolve roadblocks. Viewed as a thought leader for the business domain.
• Solve Business Problems: Sets direction and approach to solve complex problems. Able to challenge assumptions and sees several steps ahead. Develops recommendations and facilitates discussions with senior leaders.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is: Bay Area California $ 197,500.00 – 267,000.00

Southern California $ 190,500.00 – 257,500.00This 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.

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-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.
• 3+ 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.