Staff Data Scientist

Come join the Intuit Customer Success (ICS) Data Science team as a Staff Data Scientist. This role will be pivotal in shaping how we measure, grow, and optimize the externalization of Intuit's expert capabilities across ICS and various business segments. You will Design, build, and ship GenAI solutions from prototype to production., align on learning plans, improve product functioning, reduce customer friction, and guide externalization strategy in close partnership with the business owners and platform team.

The ideal candidate thrives at the intersection of data science, LLM engineering and unstructured data mining, collaborating closely with engineering, and business teams to drive measurable impact on customer experience. This is a high-impact role where your work will directly influence customer experience, and Intuit's expert platform strategy.

As a Staff Data Scientist, you will operate as a senior individual contributor, partnering closely with peers and leaders across ICS and VEP to identify, validate, and refine innovative strategies for unstructured text data mining. Your expertise — especially in NLP, LLM, defining success metrics, structuring learning plans, and GenAI solution governance— will be instrumental in surfacing critical insights and translating them into actionable hypotheses that fuel sustained product and customer growth.

Responsibilities

Define Success & Drive Product Strategy through structured & unstructured data -- Translate product and business problems into analytical frameworks. Partner with ICS leadership and the VEP product team to define north-star metrics, align on learning plans, and establish what success looks like at each stage of the customer and product journey. 

Cross-Functional Influence -- Serve as the strategic data science partner to leaders across ICS, VEP Product, Engineering, Data Engineering, and Business. Translate complex analytical findings into clear, compelling recommendations for executives and stakeholders. 

Design, build, and ship GenAI solutions from prototype to production.