Staff Data Scientist

About the Role Join Intuit's Customer Success (ICS) Data Science team as a Staff Data Scientist. This role shapes how we measure, grow, and externalize Intuit's expert capabilities across ICS and business segments, designing GenAI solutions from prototype to production and guiding strategy with business owners and platform teams. You will operate as a senior IC at the intersection of NLP/LLM and unstructured data mining, partnering with engineering and business teams to drive measurable improvements in customer experience and product growth. What You'll Do

• 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.
• Architect Context Engineering pipelines leveraging knowledge graphs.
• Lead prompt engineering: system/tool prompts, function calling, prompt versioning with offline/online evals.
• Implement evaluation & observability with ground source of truth establishment, confusion metrics, LLM-as-judge with human review, cost & latency monitoring. What We're Looking For
• Strong expertise in NLP, large language models (LLMs), and unstructured text data mining; ability to surface critical insights and translate them into actionable hypotheses that fuel product and customer growth.
• Demonstrated experience defining north-star metrics, learning plans, and governance for GenAI solutions; ability to communicate complex analytics to executives.
• Proven ability to partner with cross-functional teams (engineering, data engineering, product, legal/security, and business) and operate as a senior individual contributor delivering measurable impact on customer experience.
• Experience designing and shipping GenAI solutions from prototype to production, including evaluation, observability, and governance aspects. Compensation & Benefits
• Not specified in the posting.