Senior Staff Data Scientist

Intuit

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Quick summary

Work type: On-site
Location: Mountain View, CA
Salary: $210,500–$284,500 / yr
Posted: 55 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k

This role $248k

$112k $303k

below market most similar roles pay here above market

This role pays more than 93% of similar roles. Most pay $145,200–$214,500 — the blue band above. At the midpoint, this role pays about $248k versus about $180k 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 255 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 236 roles with salary data.

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At a glance

TL;DR · Senior Staff Data Scientist

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The Senior Staff Data Scientist joins the Intuit Global Business Solutions Group Data Science team to drive growth through long-term winning strategies. This role involves providing actionable insights for product roadmaps, operational plans, and success KPIs across domains like Marketing, Sales, and Finance. You will conduct customer segmentation, sales funnel analysis, and voice of customer analysis while developing advanced ML models and LLM applications for product recommendations and lead scoring. You must collaborate with data engineers on cross-functional projects and coach junior data scientists. The position requires proficiency in SQL, Python, and Tableau to solve complex business problems. Candidates need a background in Statistics, Mathematics, or Computer Science and experience applying advanced analytics techniques to web, product, and CRM analytics fields.

What does a Data Scientist earn in California?

Median $214500 from 114 postings across 26 companies.

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Skills

Python SQL LLMs Tableau Data Visualization Product Analytics Customer Segmentation Data Science Sales Funnel Analysis

What you'll do

Influence strategic and operational decisions through customer segmentation, product analytics, and sales funnel analysis.
Develop and manage key success metrics and leading indicators to track business performance.
Identify new business opportunities to help partners achieve specific organizational goals.
Develop and deploy machine learning models and LLM applications to solve business problems.
Communicate complex data insights and findings to business partners and senior leadership.
Create analytical frameworks to solve complex business problems and manage multiple projects simultaneously.
Coach and develop junior data scientists within the team.

What we're looking for

Minimum Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or a related field.
10+ years of experience working in web, product, customer/care, strategy, sales, marketing, CRM, or other related analytics fields.
Highly proficient in SQL, Python, and data visualization tools such as Tableau.
Multiple years of experience in applying advanced analytics techniques such as Python, ML models, and LLMs (preferred).
Proven track record of creating analytical frameworks to solve complex business problems.
Ability to manage multiple projects simultaneously to meet objectives.
Outstanding communication skills with both technical and non-technical audiences, including senior executives.
Experience in the B2B industry (preferred).

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