Intuit
Senior Staff Data Scientist, Expert Experiences
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Overview The Intuit Customer Success (ICS) Data Science team is seeking an exceptional and deeply experienced Senior Staff Data Scientist to drive innovation and enhance customer experiences through Intuit's world-class expert services. In this pivotal, high-leverage Individual Contributor (IC) role, you will define and build the foundational intelligence system that maps the end-to-end expert journey, identify and quantify points of friction in the expert workflow, establish causal relationships to business outcomes (including Customer Serving Time), and develop reusable analytical frameworks that scale across business units.
Responsibilities
Strategic Vision & Framework Development
Turn complex business strategy into well-defined, measurable analytical problems and iteratively validate hypotheses to create actionable insights.
Influence cross‑functional VPs and Directors on key investment areas and critical priorities across multiple initiatives or business units.
Lead the development and implementation of a tiered metric system that maps causal relationships between high-level business goals and low-level product health metrics using Causal AI methods.
Design and implement a durable strategy for measuring the causal impact of expert-facing features focused on Customer Serving Time reduction and GenAI efficiencies.
Lead end-to-end development of advanced analytical models, including behavioral modeling, anomaly detection, and automated opportunity sizing models, using causal inference methods.
Co‑create the Expert Experiences AI strategy in partnership with cross-functional teams and guide phased testing and rollout of AI‑native experiences.
Mentor junior employees, document and share standards, and participate in technical forums to raise the team’s technical knowledge and engagement.
Provide technical guidance on data stewardship to bridge data gaps and ensure alignment with long-term strategy.
Qualifications
7+ years in Data Science, applied Machine Learning, or advanced statistical modeling focused on product or customer experience analytics.
Bachelor’s or Master’s Degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Economics).
Expert proficiency in SQL and Python/R for data analysis, modeling, and pipeline development.
Deep experience translating business problems into predictive/prescriptive modeling problems and leading end-to-end model development life cycles.
Advanced knowledge of Causal Inference methods and statistical techniques, including Causal Graphs and Bayesian modeling.
Experience with GenAI and LLM integration into analysis/data workflows, including prompt optimization and fine‑tuning.
Proven track record of influencing Director and VP‑level partners and creating reusable analytical assets that scale across business units.
Outstanding communication and data storytelling skills for articulating complex findings to executive audiences.
Intuit provides a competitive compensation package with a strong pay‑for‑performance rewards approach. This position is eligible for a cash bonus, equity rewards, and benefits, and the expected base pay range is based on job-related factors. Pay is commensurate with experience and work location.
Seniority Level: Mid‑Senior Employment Type: Full‑time Job Function: Engineering and Information Technology Industries: Software Development
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Overview The Intuit Customer Success (ICS) Data Science team is seeking an exceptional and deeply experienced Senior Staff Data Scientist to drive innovation and enhance customer experiences through Intuit's world-class expert services. In this pivotal, high-leverage Individual Contributor (IC) role, you will define and build the foundational intelligence system that maps the end-to-end expert journey, identify and quantify points of friction in the expert workflow, establish causal relationships to business outcomes (including Customer Serving Time), and develop reusable analytical frameworks that scale across business units.
Responsibilities
Strategic Vision & Framework Development
Turn complex business strategy into well-defined, measurable analytical problems and iteratively validate hypotheses to create actionable insights.
Influence cross‑functional VPs and Directors on key investment areas and critical priorities across multiple initiatives or business units.
Lead the development and implementation of a tiered metric system that maps causal relationships between high-level business goals and low-level product health metrics using Causal AI methods.
Design and implement a durable strategy for measuring the causal impact of expert-facing features focused on Customer Serving Time reduction and GenAI efficiencies.
Lead end-to-end development of advanced analytical models, including behavioral modeling, anomaly detection, and automated opportunity sizing models, using causal inference methods.
Co‑create the Expert Experiences AI strategy in partnership with cross-functional teams and guide phased testing and rollout of AI‑native experiences.
Mentor junior employees, document and share standards, and participate in technical forums to raise the team’s technical knowledge and engagement.
Provide technical guidance on data stewardship to bridge data gaps and ensure alignment with long-term strategy.
Qualifications
7+ years in Data Science, applied Machine Learning, or advanced statistical modeling focused on product or customer experience analytics.
Bachelor’s or Master’s Degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Economics).
Expert proficiency in SQL and Python/R for data analysis, modeling, and pipeline development.
Deep experience translating business problems into predictive/prescriptive modeling problems and leading end-to-end model development life cycles.
Advanced knowledge of Causal Inference methods and statistical techniques, including Causal Graphs and Bayesian modeling.
Experience with GenAI and LLM integration into analysis/data workflows, including prompt optimization and fine‑tuning.
Proven track record of influencing Director and VP‑level partners and creating reusable analytical assets that scale across business units.
Outstanding communication and data storytelling skills for articulating complex findings to executive audiences.
Intuit provides a competitive compensation package with a strong pay‑for‑performance rewards approach. This position is eligible for a cash bonus, equity rewards, and benefits, and the expected base pay range is based on job-related factors. Pay is commensurate with experience and work location.
Seniority Level: Mid‑Senior Employment Type: Full‑time Job Function: Engineering and Information Technology Industries: Software Development
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