Senior Staff Data Scientist, QB Platform Marketing and Media

Intuit

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Mountain View, CASan Diego, CA
Salary: $210,500–$284,500 / yr
Posted: 28 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $184k

This role $248k

$115k most similar roles pay here $303k

This role pays more than 87% of similar roles. Most pay $145,200–$223,105 — the shaded band above. At the midpoint, this role pays about $248k versus about $184k 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 199 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 180 roles with salary data.

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At a glance

TL;DR · Senior Staff Data Scientist, QB Platform Marketing and Media

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As a Sr. Staff Data Scientist - QB Platform Marketing and Media, you will join the Global Business Solutions Group to drive data science strategy for Quickbooks Online growth. You will partner with Channel Marketing, Product Marketing, and Finance leaders to shape full-funnel marketing investments by decomposing go-to-market strategies into measurable frameworks and optimizing paid media plans. Your daily work involves operationalizing marketing measurement through data instrumentation, reporting, experimentation, and causal measurement techniques powered by agentic systems. You will own the data architecture for performance views, analyze channel contributions, and build durable audience understandings via data-backed hypotheses. The role requires expertise in advanced marketing models, synthetic control, and channel attribution. Technical requirements include proficiency in SQL, Python, ETL construction, and building AI agent systems to solve complex problems regarding marketing ROI and customer growth.

What does a Data Scientist earn in California?

Median $213878 from 88 postings across 32 companies.

See salary data

Skills

Data Science SQL Python AI agent s ETL Marketing Measurement Experimentation Synthetic Control Channel Attribution Data Architecture Analytics Performance Marketing Brand Marketing GTM Strategy

What you'll do

Shape the strategic direction of full-funnel marketing investments by decomposing go-to-market strategies into measurable frameworks.
Operationalize marketing measurement through data instrumentation, reporting models, and experimentation powered by agentic systems.
Synthesize business performance narratives for paid media to communicate performance drivers against growth targets.
Identify growth opportunities through insightful analysis and operationalize specific motions to win against them.
Analyze media channel contributions to drive cross-channel optimization for improved customer growth and ROI.
Own the data architecture and systems that provide clear views on marketing performance and technology integrations.
Develop a durable understanding of target audiences using data-backed hypotheses and measurement.

What we're looking for

8+ years in data science or analytics with depth in marketing, growth, or go-to-market measurement.
Experience with both Brand and Performance marketing campaigns using unified measurement frameworks for optimization.
Proven ability to direct growth roadmaps and influence strategy through data-backed hypotheses.
Expertise in advanced marketing models, experimentation, synthetic control, and channel attribution.
Ability to partner with cross-functional leaders and manage a broad portfolio of data science responsibilities.
Deep strategic thinking with knowledge of finance, product marketing, and corporate strategy concepts.
Exceptional executive communication skills to construct data narratives for Director and VP-level leaders.
Advanced SQL and Python skills, including hands-on instrumentation, ETL construction, and experience building AI agent systems.
BS or MS in a quantitative field like Statistics, Mathematics, Economics, Computer Science, or Engineering (Advanced degree preferred).

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