Senior Staff Data Scientist

Intuit

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Mountain View, CA
Salary
$210,500–$284,500 / yr
Posted
2 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $178k
This role $248k
$111k most similar roles pay here $303k

This role pays more than 91% of similar roles. Most pay $135,000–$220,100 — the shaded band above. At the midpoint, this role pays about $248k versus about $178k 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 210 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 187 roles with salary data.

Most-posted roles

View all roles at Intuit

At a glance

TL;DR · Senior Staff Data Scientist

The Senior Staff Data Scientist joins the Money Data Science team within the Global Business Solutions Group to support the QuickBooks Money product. This role focuses on helping small-medium businesses manage cash flow and accept payments more efficiently. You will dive into large datasets to uncover actionable insights, formulate hypotheses, and develop predictive models that shape product development and go-to-market strategies. Key responsibilities include conducting complex experiments beyond A/B testing, building durable customer segmentation patterns, and creating scalable analytics solutions. You will utilize Python, including libraries like numpy, pandas, and scikit-learn, alongside advanced SQL and visualization tools like Qlik, Tableau, and Plotly Dash. The work involves solving complex fintech problems such as propensity for feature adoption and customer health scoring to drive growth.

What does a Data Scientist earn in California?

Median $214500 from 102 postings across 35 companies.

See salary data

What you'll do

  • Conceptualize business problems, formulate hypotheses, and define key metrics to make actionable recommendations.
  • Develop predictive models and conduct complex experiments beyond traditional A/B testing.
  • Build and apply durable customer segmentation patterns to improve product targeting and positioning.
  • Drive strategic insights to shape the future of money-movement ecosystem products.
  • Translate complex data insights into actionable recommendations for technical and non-technical stakeholders.
  • Build reusable and scalable analytics solutions to improve efficiency and avoid duplication of work.
  • Use machine learning techniques to solve growth-related problems like propensity modeling and customer health scoring.

What we're looking for

  • BS or MS degree in Statistics, Mathematics, Operations Research, Computer Science, Econometrics, or a related field.
  • 10+ years of experience in data science or product analytics, preferably in fintech.
  • Strong foundation in predictive modeling, customer segmentation, and experimentation.
  • Experience in designing and interpreting complex experiments beyond traditional A/B testing methods.
  • Advanced SQL skills and proficiency in visualization tools such as Qlik, Tableau, or Plotly Dash.
  • Strong analytical and modeling skills using Python, including libraries like numpy, pandas, and scikit-learn.
  • Familiarity with Linux/OS X command line, version control software (git), and general software development.
  • Experience solving growth-related problems at financial technology companies serving consumers or SMBs (preferred).

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