Sr. Staff Data Scientist - QB Platform Marketing and Media (AI)

Location: Mountain View, California, or San Diego, California

Salary: $210,500–$284,500 annual base pay in Mountain View, plus potential bonus, equity rewards, and benefits.

Company

hirify.global is a global financial technology platform whose products include QuickBooks, TurboTax, Credit Karma, and Mailchimp.

What you will do

• Shape the strategic direction of QuickBooks full-funnel brand and performance marketing investments with Marketing and Finance leaders.
• Translate go-to-market strategies and paid media plans into measurable frameworks, assumptions, sensitivity analyses, and measurement plans.
• Operationalize marketing measurement through instrumentation, reporting, advanced models, experimentation, causal measurement, and agentic systems.
• Analyze media channel contribution and drive cross-channel optimization to improve customer growth and marketing ROI.
• Own the data architecture and systems supporting reliable marketing performance views, including new data sources and technology integrations.
• Build data-backed understanding of target audiences and communicate performance narratives, growth opportunities, and headwinds to senior stakeholders.

Requirements

• 8+ years of experience in data science or analytics, including substantial marketing, growth, or go-to-market measurement experience.
• Experience measuring both brand and performance marketing campaigns with unified optimization frameworks.
• Expertise in advanced marketing models, experimentation, synthetic control, and channel attribution.
• Advanced SQL and Python skills, hands-on instrumentation and pipeline/ETL construction, and experience with large multi-source enterprise data.
• Experience building and shipping AI agent systems for internal and external users.
• Ability to influence cross-functional leaders, prioritize broad data science portfolios, and communicate data narratives to Director- and VP-level audiences; BS or MS in a quantitative field or equivalent experience.

Nice to have

• Advanced degree in statistics, mathematics, economics, econometrics, operations research, computer science, engineering, business, or a related quantitative field.

Culture & Benefits

• Competitive compensation with a performance-based rewards approach.
• Potential eligibility for cash bonus, equity rewards, and benefits under applicable company plans.
• Regular compensation comparisons across ethnicity and gender categories to support fair pay.