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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Data Scientist - Voice of the Customer (VoC) - **Company:** Intuit Inc. - **Location:** Mountain View, CA, United States - **Experience:** Expert - **Salary:** $185,500.0 - $251,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Python (Programming Language), Machine Learning, SQL Databases, Unstructured Data, Information Technology, Operational Systems - **Published:** July 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=ed2b7caf3e6bc642 ## About the Role * BS or MS degree in Statistics, Mathematics, Computer Science, Econometrics, Operations Research, or a related quantitative field; PhD a plus. * 8+ years of experience in data science, machine learning, or advanced analytics, including leading complex cross-functional initiatives with measurable business impact. * Expert-level proficiency in SQL and Python (or R), with a strong track record of building scalable, production-ready, reproducible workflows. * Deep expertise in statistical modeling, including regression, classification, clustering, ensemble methods, causal inference, and experimentation at scale. * Strong experience applying NLP and machine learning techniques to large-scale unstructured data. * Demonstrated ability to define metrics that shape business strategy and influence director- and VP-level stakeholders. * Experience driving AI or advanced analytics initiatives end-to-end - from problem framing through experimentation, measurement, and operationalization. * Familiarity with core VoC metrics such as PRS (Product Recommendation Score) and tNPS (Transactional Net Promoter Score). * Proven ability to mentor others, raise technical standards, and influence cross-functional partners without direct authority. * Strong communication skills with the ability to translate complex technical concepts into clear, compelling narratives that drive executive decision-making. ## Description Join the Intuit Customer Success Data Science & Analytics team as a Staff Data Scientist focused on the Voice of the Customer (VoC). In this role, you will define how customer feedback shapes strategy by connecting customer friction directly to churn, retention, revenue, and long-term growth. You will operate as both a hands-on technical leader and a strategic advisor to senior leadership. You'll shape VoC measurement and AI strategy, architect scalable modeling frameworks, and influence decisions at the director and VP level. You'll partner closely with Customer Success, Customer Experience, Product, Engineering, and Data teams to embed advanced analytics and AI into critical business decisions. This role is for someone who thrives in ambiguity, leads independently, and builds systems that scale across teams and business units. Responsibilities * Perform hands-on analysis and build advanced statistical and machine learning models that quantify the financial and operational impact of customer friction across segments and business units. * Lead experimentation and causal inference frameworks to rigorously evaluate whether product and service improvements drive measurable customer and business outcomes. * Translate ambiguous business problems into structured modeling approaches, defining metrics that connect VoC insights to churn, retention, revenue, cost-to-serve, and growth. * Architect scalable NLP and AI solutions to extract signal from large-scale, multi-source customer feedback data (surveys, operational systems, contact drivers, behavioral signals). * Develop impact sizing and prioritization frameworks that inform product roadmaps, investment decisions, and resource allocation. * Partner with senior leaders across Customer Success, Customer Experience, Product and Strategy to embed data-driven decision-making into core operating mechanisms. * Establish best practices for experimentation, model governance, reproducibility, and documentation; mentor and elevate other data scientists and analysts. * Advance generative AI and automation capabilities to simplify workflows and scale insight generation across the organization. ## Related Videos - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [The Deichmann RPA journey: Step by step with low-code automation to success](https://www.wearedevelopers.com/videos/1566-the-deichmann-rpa-journey-step-by-step-with-low-code-automation-to-success) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Intelligent Automation using Machine Learning](https://www.wearedevelopers.com/videos/157-intelligent-automation-using-machine-learning) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1520-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [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) - [The future is here: How artificial intelligence is influencing UX design](https://www.wearedevelopers.com/magazine/65-the-future-is-here-how-artificial-intelligence-is-influencing-ux-design) - [Got AI ideas but no money? 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