customer-segmentation jobs in San Diego

Staff Data Scientist leading analytics strategy for Intuit's Connected Accounts product, responsible for owning the analytics agenda end-to-end from account linking through engagement. The role requires applying ML and causal inference techniques to solve connected-accounts-specific problems, designing and running A/B tests and quasi-experimental designs, building member segmentation, and identifying AI/ML opportunities.…See more You will partner closely with Product, Engineering, and Design leadership on roadmap prioritization, mentor other data scientists, and use AI-native tools to synthesize analyses ranging from experiment readouts to churn deep dives.

Lead a high-performing Customer Experience team driving TurboTax's omni-channel assisted services across retail, virtual, and hybrid channels. Own strategy and execution for customer success initiatives, partnering with Product, Marketing, and Analytics to optimize customer journeys, drive conversion and retention, and build internal capability in design thinking and continuous improvement.…See more Analyze customer behavior data, design and validate experiments (A/B testing), and translate Voice of the Customer insights into product and business strategy. Coach managers and individual contributors while representing CX on cross-functional leadership teams and managing complex organizational change.

Lead the design and deployment of AI-powered marketing automation workflows, predictive analytics frameworks, and performance dashboards across Intuit's marketing organization. Build production-grade automation infrastructure on cloud platforms (GCP/AWS/Azure) that integrates AI tools into the marketing tech stack, operationalizes customer segmentation models, and scales intelligent automation globally.…See more Develop dashboards, attribution models, and automated reporting pipelines that quantify adoption, cost savings, and performance lift. Partner cross-functionally with product, engineering, data science, and marketing teams to architect, validate, and transition high-impact AI pilots into enterprise capabilities.