Staff Data Scientist, Intuit Customer Success

Intuit; Mountain View (CA); On-site; USD 186,000 - 251,000; Full time

Job summary

Intuit, Inc. is seeking a Staff Data Scientist to shape the AI strategy for our product support and live experiences within the Customer Success team.

You will work with data engineers, analysts, and scientists to build an AI-driven data infrastructure that informs critical business decisions and scales AI-enabled solutions. You will partner with AI Research, Product Management, Service Delivery, Strategy, and Engineering to develop capabilities that push our AI-driven platform forward,

Qualifications

• BS or MS degree in Statistics, Mathematics, Operations Research, Computer Science, Econometrics, or a related field.
• Advanced proficiency in SQL and Python and/or R.
• 7+ years of data mining, statistical modeling, and ML techniques.
• Deep understanding of Generative AI and multi-modal data.
• Expertise in experimental design and AB testing.
• Experience with optimization techniques and simulation modeling.
• Experience deploying operational models for staffing, queue management, or dynamic resource allocation.
• Familiarity with CS metrics like NPS, AHT, FCR, and agent utilization.

Responsibilities

• Perform data analysis and modeling to enable AI-driven insight at scale.
• Lead experimental designs and measurement plans.
• Build optimization models and simulation tools for CS operations planning and routing.
• Develop decision science frameworks to optimize support costs and outcomes.
• Embed AI/ML solutions in real-time decision engines and workflows with stakeholders.
• Collaborate with product managers, engineers, and designers on model and MVP design.
• Develop agentic capabilities to power Intuit Expert Network and reduce manual workload.

Skills

SQL

Python

R

Experimental design

Generative AI

Statistical modeling

Optimization

Communication

Education

BS or MS degree

Tools

Python

R

Job description

Join the Intuit Customer Success team as a Staff Data Scientist focused on our Expert Network. In this role, you will help shape the AI strategy for our product support and live experiences. You’ll be central to optimizing our greatest resource—our people—through innovating, experimenting, learning, pivoting, and scaling AI-driven solutions.

As a Staff Data Scientist, you will join our team of talented Data Engineers, Data Analysts, and Data Scientists to develop tools, define metrics, and build a robust Data/AI infrastructure that informs critical business decisions. You will also partner closely with cross functional teams in AI Research, Product Management, Service Delivery, Strategy, and Engineering to develop capabilities that will drive our AI Driven platform into the future.

Responsibilities

Perform data analysis and modeling to enable insight and scale the application of AI on large datasets.

Lead experimental designs and measurement plans.

Build optimization models and simulation tools to support strategic decisions across customer success operations, including service delivery, workforce planning, customer escalations, knowledge management, scheduling, and routing.

Develop and operationalize decision science frameworks to optimize support costs and maximize customer outcomes.

Partner with stakeholders across Customer Success, Operations, and Strategy teams to embed AI/ML solutions in real-time decision engines and operational workflows.

Work side-by-side with product managers, software engineers, and designers in designing models, experiments, and minimum viable products.

Develop agentic capabilities to power our Expert Network and streamline processes, uncover insights, and reduce the manual burden on the team.

Qualifications

BS or MS degree in Statistics, Mathematics, Operations Research, Computer Science, Econometrics, or a related field.

Advanced proficiency in SQL and a statistical programming language such as Python and/or R.

7+ years of experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining.

Deep understanding of Generative AI and other evolving technologies to accelerate insights from multi-modal data.

Expertise in experimental design and Multivariate/A-B testing.

Experience in optimization techniques, such as linear programming, integer programming, constraint optimization, and simulation modeling.

Experience building and deploying operational models for staffing, queue management, or dynamic resource allocation.

Familiarity with customer success metrics and operational KPIs such as Net Promoter Score (NPS), Average Handle Time (AHT), First Contact Resolution (FCR), and agent utilization.

Ability to formulate data-backed strategies that will drive step-function growth for the business as well as increase customer benefit.

Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

The expected base pay range for this position is:

San Diego $185,500 - $251,000