> Markdown version of [/jobs/ext/3030212-staff-data-scientist-supporting-services](https://www.wearedevelopers.com/jobs/ext/3030212-staff-data-scientist-supporting-services). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Data Scientist supporting Services - **Company:** Intuit Inc. - **Location:** San Diego, CA, United States - **Experience:** Expert - **Salary:** $194,000.0 - $262,500.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Big Data, Information Engineering, Cursor (Graphical User Interface Elements), Python (Programming Language), NumPy, Usage Analysis, Sql Optimization, Large Language Models, Pandas, Scikit Learn, Information Technology, Statistics Packages - **Published:** September 22, 2026 - **Apply:** https://intuit.avature.net/externalCareers/JobApplication?pipelineId=24055 ## About the Role * 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. ## Description The GBSG Customer Success Data Science & Analytics team's mission is to empower world-class customer experiences across digital and expert-led channels by delivering data-driven insights, experimentation, and predictive intelligence. We partner closely with Customer Success, Product, Data Engineering, and Operations teams to improve customer engagement, retention, and long-term success across Intuit's Services businesses-Payroll, Payments, and Bill Pay-for small and mid-market customers. 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland)