Staff Data Scientist - IES Paid Media

Company Overview

Job Overview

Come join the Quickbooks Paid Media Marketing Analytics team as a Staff Data Scientist. You will be joining a team that is responsible for driving marketing decisions through data-backed insights, bringing new customers or upgrading existing customers to Quickbooks or Intuit Enterprise Suite (IES) products via paid marketing channels. As a paid media marketing analyst, you will drive a deeper understanding of channel performance, help identify areas of opportunity within marketing channels, and drive new customer growth, upgrades, service adoption, and lead gen for Mid Market audience.

Responsibilities

• Partner across acquisition marketing, product marketing, sales, data science, and research teams to drive comprehensive paid marketing measurement roadmaps and actively shape marketing strategy
• Build channel learning plans to unpack and deliver deep insights on the factors driving media performance including creative, audience, partners, and media tactics
• Execute marketing measurement requirements including data instrumentation, attribution, experimentation, modeling, and casual inference
• Track the performance of paid media against business goals, lead the construction of channel reporting and data narratives related to paid media to senior leaders, guiding tactical optimization decisions
• Inform the strategic roadmap for marketing science capabilities, including MMM, AMM, and geo experimentation
• Utilize GenAI tools to design and build agentic workflows, enhancing speed to insight and decision making

Qualifications

• 7+ years of experience in a data science or analytics position specific to marketing and paid media measurement
• Experienced in advanced statistical analysis, A/B testing, geo/match-market experimentation, marketing AI/ML use cases including MMM, and marketing attribution
• Practical experience constructing data pipelines and ETL utilizing SQL and Python, as instrumenting new data requirements and manipulating large complex datasets
• Very strong insight mining and data storytelling skills, with a proven ability to rapidly construct data narratives and drive decisions with marketing leaders
• Well developed business acumen, with proven ability to shape GTM and growth strategy across highly complex businesses with multiple interdependent SKUs/business lines, financial services preferred
• Experience in using GenAI tools to augment self service reporting and insight generation capabilities
• Bachelor’s degree in a quantitative field or equivalent work experience, advanced degree preferred

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: $186,500 - $252,000