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Overview

Join Intuit’s Customer Success, Scaling Assisted Services Data Science Team as a Staff Data Scientist and be at the forefront of transforming how customers connect with our expert-led offerings. In this strategic role, you'll support our high-growth Full Service offerings by meeting customers where they are: locally, virtually, and authentically. You’ll play a pivotal role in building and scaling the analytics foundation behind our expert-first experience, influencing product design, marketing strategy, operational execution, and customer delight.

This is an opportunity to help shape a hybrid virtual/in-person expert experience with national reach and deep local relevance – and to fuel Intuit’s next chapter of growth in the $35B assisted tax market

What you'll bring

+ 8+ years in data science, analytics, or a related field, ideally supporting consumer services, marketplaces, or expert-led models.

+ Advanced proficiency in SQL and data visualization (e.g., Tableau), and programming in Python or R.

+ Experience building scalable data pipelines, metrics layers, and experiment platforms; familiarity with dbt, Airflow, Snowflake, or Databricks is a plus.

+ Strong analytical skills including customer segmentation, funnel analytics, geo-analytics, and behavioral modeling.

+ Hands-on experience designing and evaluating A/B and multivariate experiments.

+ Understanding of machine learning and generative AI use cases in consumer applications is a plus.

+ Excellent storytelling and communication skills to influence decisions across technical and non-technical audiences.

+ Proven track record of cross-functional collaboration, managing multiple projects in fast-paced environments.

+ Passion for data craft, mentorship, and continuous improvement with a growth-oriented mindset.

How you will lead

Elevate End-to-End Customer Experience Through Data

+ Define and track customer experience metrics across the expert journey, from discovery to service delivery, to ensure consistency, trust, and ease.

+ Partner with CX, operations, and expert network teams to uncover friction points, measure quality, and ensure that expert interactions deliver high customer satisfaction and resolution.

+ Lead efforts to connect Voice of Customer data (surveys, call/chat feedback, behavioral signals) to operational KPIs to identify and act on experience improvement opportunities.

Design Scalable Analytics Solutions for Hybrid Expert Models

+ Build robust data infrastructure to monitor and improve hybrid (virtual + physical) service delivery models at scale.

+ Develop dashboards and self-serve tools that enable real-time visibility into experience quality, expert readiness, and resolution performance.

+ Establish and maintain geo-segmented and persona-based reporting frameworks that account for localized service needs and operational nuances.

Support Operational Excellence and Seasonal Readiness

+ Analyze expert utilization, capacity planning, and performance trends to inform staffing and scheduling strategies.

+ Drive continuous improvements in expert routing, workload balancing, and tool usage based on empirical data.

+ Partner with operations teams during key seasonal milestones to ensure expert networks are optimized for readiness, efficiency, and service quality.

Lead with Insightful Storytelling and Cross-Functional Influence

+ Craft and present compelling insights to senior leaders that guide customer experience investments and operational priorities.

+ Collaborate across Customer Success, CX, and Expert Network teams to align on shared goals for service consistency, customer trust, and business growth.

+ Translate complex data into actionable insights that influence long-term strategy and near-term execution.

EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.