Staff Data Scientist, Intuit Customer Success
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Before you apply
Salary$186k – $251k
LocationSan Diego, California, United States; Mountain View, California, United States
Typefull-time
SeniorityLead
Experience7+ yrs
DepartmentCustomer Success
Company size10,000+ people
First seenOct 30, 2026 · 1w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
BS or MS degree in Statistics, Mathematics, Operations Research, Computer Science, Econometrics, or a related field
Advanced proficiency in SQL
Advanced proficiency in 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
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
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
Skills
SQL
Python
R
Generative AI
Benefits
Cash bonus
Equity
Health insurance
401(k)
Unlimited PTO
Remote stipend
About the role
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.
Benefits
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
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