Come join the Mailchimp 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 via paid marketing channels. As a paid media marketing data scientist, you will drive a deeper understanding of marketing campaign performance, help identify areas of opportunity within marketing channels, and inform marketing strategy through advanced analytics and data science tools.

Responsibilities

• Partner across marketing, DS, and research teams to drive comprehensive paid media measurement roadmaps 
• Build channel learning plans to unpack and deliver deep insights on the factors driving media performance including creative, audience, partners, and media tactics
• Execute the technical DS components of measurement roadmaps including data instrumentation, attribution, experimentation, marketing model deployment, and ad-hoc analytics work
• 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 strategic optimization decisions
• Shape paid media strategy and investment mix by running cross channel optimization scenarios and sizing marginal contributions from incremental budgets
• Inform the strategic roadmap for marketing science capabilities, including MMM, AMM, and geo experimentation

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 will 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: 

Bay Area California $186,500 - 252,000