Staff Data Scientist, Customer Success

Intuit

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Diego, CAMountain View, CA
Salary
$185,500–$251,000 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $182k
This role $218k
$130k $264k
below market most similar roles pay here above market

This role pays more than 75% of similar roles. Most pay $145,200–$218,562 — the blue band above. At the midpoint, this role pays about $218k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

About Intuit

Intuit is a financial software company known for products like TurboTax, QuickBooks, Mint, and Credit Karma, helping consumers and small businesses manage their finances and taxes. Industry: Financial Software & Technology

Intuit currently has 259 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 240 roles with salary data.

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View all roles at Intuit

At a glance

TL;DR · Staff Data Scientist, Customer Success

The Staff Data Scientist, Intuit Customer Success joins the Customer Success team to shape the AI strategy for product support and live experiences. Working with Data Engineers and Data Scientists, you will build a robust Data/AI infrastructure, develop tools, and define metrics to inform critical business decisions. Your daily responsibilities include performing data analysis, leading experimental designs, and building optimization models for workforce planning, scheduling, and routing. You will develop agentic capabilities and operationalize decision science frameworks to optimize support costs. Required skills include advanced proficiency in SQL, Python, or R, and experience with clustering, regression, neural nets, and text mining. You must also apply optimization techniques like linear programming and simulation modeling to solve complex problems in customer success operations and real-time decision engines.

What does a Data Scientist earn in California?

Median $214500 from 118 postings across 27 companies.

See salary data

What you'll do

  • Perform data analysis and modeling to scale AI applications on large datasets.
  • Lead experimental designs and measurement plans for product support and live experiences.
  • Build optimization models and simulation tools for workforce planning, scheduling, and routing.
  • Develop and operationalize decision science frameworks to optimize support costs and customer outcomes.
  • Embed AI/ML solutions into real-time decision engines and operational workflows.
  • Design models, experiments, and minimum viable products alongside product managers and engineers.
  • Develop agentic capabilities to power the Expert Network and reduce manual team burdens.

What we're looking for

  • 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, and neural nets.
  • 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 NPS, AHT, FCR, and agent utilization.

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