Intuit Inc

GBSG Customer Success - Staff Data Scientist

Intuit Inc • $194K — $262K *
Mountain View, CA 94040In-Person
Information Technology
8 - 10 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 8+ years in data science or analytics with a focus on customer success or product domains.
  • Strong expertise in causal inference and advanced analytical methods beyond basic A/B testing.
  • Experience in predictive modeling and customer segmentation for actionable production-level insights.
  • Proficiency in SQL and Python for data analysis and modeling (including libraries like pandas and scikit-learn).
  • Familiarity with modern AI tools and LLM-integrated coding environments for data science applications.
  • Ability to work with complex datasets and draw insightful business conclusions.
  • Outstanding communication skills for influencing technical and non-technical stakeholders.

Responsibilities

  • Serve as a strategic analytics partner across multiple business leaders to define success metrics.
  • Formulate hypotheses for ambiguous problems and design analytical approaches to evaluate programs.
  • Design and interpret advanced experiments using causal inference techniques to assess program impacts.
  • Develop scalable measurement frameworks for critical customer success and services metrics.
  • Build predictive models for improved customer targeting and resource allocation.
  • Analyze customer friction and revenue-risk to create actionable plans for leadership.
  • Utilize AI tools to streamline analytics workflows, ensuring high-quality output.

Benefits

  • Competitive compensation with a pay-for-performance incentive structure.
  • Opportunities for cash bonuses and equity rewards.
  • Comprehensive benefits packages including health and wellness programs.
Full Job Description
As a Staff Data Scientist supporting Services, you will serve as a senior individual contributor and strategic thought partner, applying deep analytical expertise and business judgment to some of GBSG CS's most complex and high-impact problems. You will shape measurement frameworks for expert-led and human-assisted success motions, lead advanced experimentation and causal analysis, and translate insights into clear recommendations that influence strategy and execution across the organization.

This role offers a unique opportunity to help define how Customer Success and expert-services impact is measured at scale-especially as Intuit evolves its data platforms, AI-enabled and human-in-the-loop experiences, and customer engagement models across the Services portfolio.

Responsibilities
  • Serve as a strategic analytics partner to Customer Success, Services, Product, and Operations leaders-helping define problems, success metrics, and data-informed decisions across Payroll, Payments, and Bill Pay.
  • Conceptualize ambiguous business problems, formulate hypotheses, and design rigorous analytical approaches to evaluate Customer Success and expert-services programs (e.g., CSM coverage, outbound and inbound-friction motions, 'Nail the Basics').
  • Design, execute, and interpret experiments beyond traditional A/B testing, including causal inference methods (e.g., quasi-experiments, DiD, matching, synthetic control) to isolate the incremental impact of human-assisted success motions.
  • Develop and maintain scalable measurement frameworks for key CS and Services outcomes such as engagement, retention, share-of-wallet, TPV growth, customer health, and support effectiveness.
  • Build predictive models and durable customer segmentation approaches to improve targeting, prioritization, and CSM assignment across the Services customer base.
  • Size and prioritize customer-friction and revenue-risk opportunities, turning analysis into clear, actionable roadmaps for Services leadership.
  • Apply modern AI tooling to accelerate the analytics workflow-using LLM-assisted development environments (e.g., Cursor, Claude) and internal AI/MCP capabilities to move faster from question to insight, while holding a high bar for correctness and reproducibility.
  • Design and evaluate AI/ML- and LLM-powered customer experiences, building the measurement and causal frameworks that determine whether agentic and human-in-the-loop success motions actually move customer and business outcomes.
  • Translate complex analyses into clear, actionable insights and narratives for both technical and non-technical stakeholders, including senior leadership and cross-functional Services partners.
  • Partner with Data Engineering to ensure high data quality, well-defined metrics, and scalable analytics assets-especially during platform and data migrations.
  • Champion analytics rigor, experimentation best practices, and reusable solutions that scale impact beyond individual projects.
  • Role-model Intuit's 'Win Together' mindset by collaborating deeply across teams and elevating the analytical bar of the broader organization.


Qualifications
  • 8+ years in data science, analytics, or product analytics, with demonstrated impact in customer success, product, or go-to-market domains.
  • Deep foundation in advanced analytics: causal inference and quasi-experimental design (DiD, matching, synthetic control, regression discontinuity), statistical modeling, and experimentation well beyond simple A/B testing-including knowing which method fits an ambiguous, real-world business question and defending the choice.
  • Predictive modeling and segmentation experience-building models (propensity, churn/retention, LTV, customer health) that are used in production decisions, not just one-off analyses.
  • Advanced SQL and strong Python for analysis, modeling, and experimentation (pandas, numpy, scikit-learn, statsmodels).
  • Working fluency with modern AI tooling for data science-using LLM-based coding assistants (e.g., Cursor, Claude) and AI/agent workflows to increase speed and quality, with sound judgment about where AI accelerates the work and where human rigor must own the result.
  • Proven ability to work with large, complex datasets and translate insights into business decisions.
  • Excellent communication and storytelling skills, with the ability to influence senior stakeholders.
  • Bachelor's degree in a quantitative field (Statistics, Economics, Mathematics, Computer Science, Data Science, or related); advanced degree preferred.


Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may 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 ). 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:
Mountain View $194,000 - $262,500

About Intuit Inc

Intuit offers business and financial management solutions for SMBs, financial institutions, consumers, and accounting professionals. The company’s product portfolio includes TurboTax, a software solution that offers free tax filing, efile taxes, and income tax returns; Quicken; QuickBooks; Mint.com, and more. It also offers end-to-end solutions for online tax preparation, download products, mobile tax prep, mortgage interest and property tax, corporations tax, military tax, and more. Intuit was founded by Tom Proulx and Scott Cook in 1983 and is based in Mountain View, California. The company serves customers in North America, Asia, Europe, and Australia with offices in the United States, Canada, India, U.K., and Singapore.

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Invest in your future with Intuit’s industry-leading benefits and professional development opportunities. Our employees enjoy comprehensive benefits that ensure their personal and professional satisfaction, including health, wellness, and continuous learning perks. At Intuit, we also understand the importance of diversity training and leadership development, providing various programs that foster an inclusive environment.

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Learn more about Intuit Inc
Size
13,500 employees
Market Cap
$107.4 billion
Industry
Consumer Technology
Net Income
$1.7 billion
Founded
1983
5 Year Trend
+19.6%
Revenue
$7.7 billion
NASDAQ
INTU
* Ladders Estimates

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