Senior Data Scientist- Customer Success

Senior Staff Data Scientist - Customer Success

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Come join the Intuit Customer Success data science team as a Senior Staff Data Scientist to shape the strategy to enable best-in-class customer experiences for Quick Books customers.

The Data Science team plays a critical role in shaping strategy, scaling new businesses, and delivering delightful customer experiences. Our mission is to accelerate decision‑making through advanced models, insights, and experimentation that address our most important customer and business challenges.

• Conceptualize business problems or opportunities, formulate hypotheses and goals, define key metrics, and make actionable recommendations.
• Drive strategic insights that shape the future of Intuit's core Accounting offering, impacting millions of small businesses.
• Develop predictive models, conduct experimentation beyond A/B testing, and generate actionable customer insights that inform product innovation.
• Build and apply durable customer segmentation patterns to refine product targeting, positioning, and customer experience.
• Partner closely with Product Management, Marketing, Engineering, Design, and Analytics leaders to deliver insights that drive product strategy and growth.
• Translate complex data insights into actionable recommendations for technical and non-technical stakeholders and business leaders.

• BS or MS degree in Statistics, Mathematics, Operations Research, Computer Science, Econometrics, or a related field.
• 10+ years of experience in data science or product analytics, with a strong foundation in predictive modeling, customer segmentation, and experimentation.
• Ability to formulate data‑backed strategies that will drive step‑function growth for the business and increase customer benefit.
• Ability to generate hypotheses grounded in customer behavior, industry trends, and external market factors.
• Experience in designing and interpreting complex experiments beyond traditional A/B testing methods.
• Demonstrated experience in building reusable and scalable analytics solutions, with a focus on efficiency and avoiding duplication of work.
• Outstanding communication skills with the ability to influence decision‑makers and build consensus with teams.
• Quick learner, adaptable, with the ability to work independently or as part of a team in a fast‑paced environment.

• Advanced SQL skills and proficiency in visualization tools such as Qlik, Tableau, Plotly Dash.
• Strong analytical and modeling skills using Python (for its rich suite of statistical and modeling libraries like Num Py, Pandas, Scikit‑learn, etc.).
• Experience with causal inference techniques such as propensity score matching, difference‑in‑differences, and synthetic control methods.
• Familiarity with Generative AI and other evolving technologies to accelerate insights from multi‑modal data.

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. 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:

Mid‑Senior level

Full‑time

Engineering and Information Technology

Software Development

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