Intuit
Senior Staff Data Scientist, Expert Experiences
Intuit, San Diego, California, United States, 92189
Senior Staff Data Scientist, Expert Experiences
Overview:
The Intuit Customer Success (ICS) Data Science team seeks an experienced Senior Staff Data Scientist to drive innovation and enhance customer experiences through Intuit's world-class expert services. This high-leverage Individual Contributor role is responsible for defining and building the foundational intelligence system that maps the end-to-end expert journey, identifying friction points, establishing causal relationships to business outcomes, and developing reusable analytical frameworks that scale across business units. The role requires a technical leader who influences product direction across multiple teams, navigates complex problems, and introduces new methodologies to the Data Science community. Responsibilities
Strategic Vision & Framework Development Strategy to Problem: Turn complex business strategy (e.g., Expert-as-Product, AI‑Native Experience) into measurable analytical problems and iteratively validate hypotheses for actionable insights. X‑functional Influence: Use insights and business acumen to influence cross‑functional VPs and Directors on investment areas and priorities. Metric System & Causal Structure: Lead development of a tiered metric system mapping causal relationships between high‑level business goals (e.g., efficiency, conversion) and low‑level product health metrics. Advanced Causal Measurement & Modeling Causal Measurement Strategy: Design a durable strategy for measuring causal impact of expert‑facing features, focusing on Customer Serving Time reduction and GenAI efficiency attribution, including RCTs and hierarchical Bayesian modeling. Model Development & Innovation: Lead end‑to‑end development of advanced analytical models—Behavioral Modeling, Anomaly Detection, Automated Opportunity Sizing—using advanced causal inference methods. AI Strategy Co‑Creation & Guidance: Co‑create the Expert Experiences AI strategy, guide phased testing and roll‑out of AI‑native experiences, and ensure causal measurement processes are in place. Mentorship: Raise the team’s technical knowledge, skill, and engagement by mentoring junior employees and sharing standards. Data Stewardship: Understand current data layers, identify gaps, and guide technical solutions to align data architecture with long‑term strategy. Qualifications
Experience: 7+ years in Data Science, applied Machine Learning, and/or advanced statistical modeling with a focus on product or customer experience analytics. Education: Bachelor’s or Master’s Degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Economics, Operations Research). Technical Expertise: Expert proficiency in SQL and Python/R for data analysis, modeling, and pipeline development. Deep, hands‑on experience translating business problems into predictive/prescriptive modeling problems and leading end‑to‑end model development lifecycle. Advanced knowledge of Causal Inference methods (Causal Graph/Causal AI techniques) and advanced statistical methods. Experience in AI/ML, Generative AI (GenAI), and LLM integration into workflows, including prompt optimization and fine‑tuning. Strategic Impact: Proven track record of influencing Director and VP‑level partners, driving strategic decisions, and creating reusable analytical assets or frameworks that scale. Communication: Outstanding data storytelling skills, able to articulate complex technical findings to non‑technical executive audiences. Compensation & Benefits
Intuit offers a competitive compensation package with pay‑for‑performance rewards, eligible for a cash bonus, equity, and benefits. Base pay is based on factors such as knowledge, skills, experience, and location. Intuit conducts regular fair‑pay comparisons across ethnicity and gender. Expected base pay range for this position is: (see detailed range on Intuit Careers page). Seniority Level
Mid‑Senior level Employment Type
Full‑time Job Function
Engineering and Information Technology Industry
Software Development Referrals increase your chances of interviewing at Intuit by 2x. Get notified about new Senior Data Scientist jobs in San Diego, CA.
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Overview:
The Intuit Customer Success (ICS) Data Science team seeks an experienced Senior Staff Data Scientist to drive innovation and enhance customer experiences through Intuit's world-class expert services. This high-leverage Individual Contributor role is responsible for defining and building the foundational intelligence system that maps the end-to-end expert journey, identifying friction points, establishing causal relationships to business outcomes, and developing reusable analytical frameworks that scale across business units. The role requires a technical leader who influences product direction across multiple teams, navigates complex problems, and introduces new methodologies to the Data Science community. Responsibilities
Strategic Vision & Framework Development Strategy to Problem: Turn complex business strategy (e.g., Expert-as-Product, AI‑Native Experience) into measurable analytical problems and iteratively validate hypotheses for actionable insights. X‑functional Influence: Use insights and business acumen to influence cross‑functional VPs and Directors on investment areas and priorities. Metric System & Causal Structure: Lead development of a tiered metric system mapping causal relationships between high‑level business goals (e.g., efficiency, conversion) and low‑level product health metrics. Advanced Causal Measurement & Modeling Causal Measurement Strategy: Design a durable strategy for measuring causal impact of expert‑facing features, focusing on Customer Serving Time reduction and GenAI efficiency attribution, including RCTs and hierarchical Bayesian modeling. Model Development & Innovation: Lead end‑to‑end development of advanced analytical models—Behavioral Modeling, Anomaly Detection, Automated Opportunity Sizing—using advanced causal inference methods. AI Strategy Co‑Creation & Guidance: Co‑create the Expert Experiences AI strategy, guide phased testing and roll‑out of AI‑native experiences, and ensure causal measurement processes are in place. Mentorship: Raise the team’s technical knowledge, skill, and engagement by mentoring junior employees and sharing standards. Data Stewardship: Understand current data layers, identify gaps, and guide technical solutions to align data architecture with long‑term strategy. Qualifications
Experience: 7+ years in Data Science, applied Machine Learning, and/or advanced statistical modeling with a focus on product or customer experience analytics. Education: Bachelor’s or Master’s Degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Economics, Operations Research). Technical Expertise: Expert proficiency in SQL and Python/R for data analysis, modeling, and pipeline development. Deep, hands‑on experience translating business problems into predictive/prescriptive modeling problems and leading end‑to‑end model development lifecycle. Advanced knowledge of Causal Inference methods (Causal Graph/Causal AI techniques) and advanced statistical methods. Experience in AI/ML, Generative AI (GenAI), and LLM integration into workflows, including prompt optimization and fine‑tuning. Strategic Impact: Proven track record of influencing Director and VP‑level partners, driving strategic decisions, and creating reusable analytical assets or frameworks that scale. Communication: Outstanding data storytelling skills, able to articulate complex technical findings to non‑technical executive audiences. Compensation & Benefits
Intuit offers a competitive compensation package with pay‑for‑performance rewards, eligible for a cash bonus, equity, and benefits. Base pay is based on factors such as knowledge, skills, experience, and location. Intuit conducts regular fair‑pay comparisons across ethnicity and gender. Expected base pay range for this position is: (see detailed range on Intuit Careers page). Seniority Level
Mid‑Senior level Employment Type
Full‑time Job Function
Engineering and Information Technology Industry
Software Development Referrals increase your chances of interviewing at Intuit by 2x. Get notified about new Senior Data Scientist jobs in San Diego, CA.
#J-18808-Ljbffr