Staff Data Scientist

Intuit • San Diego, CA

69d

About The Position

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.

Requirements

• 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.

Nice To Haves

• Familiarity with dbt, Airflow, Snowflake, or Databricks.
• Understanding of machine learning and generative AI use cases in consumer applications.

Responsibilities

• 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.
• 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.
• 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.
• 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.

Benefits

• Competitive compensation package with a strong pay for performance rewards approach.
• Eligibility for a cash bonus and equity rewards.
• Comprehensive benefits package as per Intuit's plans and programs.

What This Job Offers

• Career Level: Senior
• Industry: Publishing Industries
• Number of Employees: 5,001-10,000 employees