Marketing Data Scientist

Overview

Google's Business Operations team tackles complex challenges by deeply engaging in data analysis and deriving actionable insights, ultimately delivering strategic recommendations that influence senior leadership decisions and business directions.

In this role as a Marketing Data Scientist, you will lead impactful measurement and analytics initiatives across Google's marketing media campaigns globally, focusing on driving measurable impact and innovation in marketing analytics practices.

Key Responsibilities

• Develop analytic solutions addressing marketing challenges, identifying measurement and optimization opportunities to enhance brand and performance marketing efforts.
• Create comprehensive cross-product measurement and testing plans, including establishing tracking, reporting, metrics, and benchmarks for major campaigns to maximize marketing effectiveness.
• Collaborate with internal teams on advanced analytics projects involving experimentation, modeling, and measurement techniques.
• Implement customer-focused, data-driven strategies leveraging people-based marketing for audience segmentation and testing to achieve optimal business results.
• Design evaluation frameworks for large models and new metrics, analyze anomalies, and address ambiguous problems through setting technical priorities and innovating statistical methods.

Qualifications

• A master's degree in quantitative fields such as Statistics, Engineering, Sciences, or equivalent practical experience is required.
• Either a PhD or minimum three years of experience applying analytics to solve product or business problems, involving programming skills in Python, R, SQL, as well as database querying and statistical analysis.
• Proven experience in translating business challenges into research questions and converting insights into actionable marketing and media recommendations.
• Expertise in delivering meta-analyses, creating automated analytics pipelines, conducting audience segmentation, and propensity modeling.
• Experience managing brand measurement frameworks including panel setup, brand lift studies, agency coordination, and executing statistical tests.
• Applied proficiency in R or Python programming for statistical analysis, alongside strong SQL skills.
• A demonstrated ability to provide practical solutions to marketing analytics problems and effectively partner with cross-functional teams to drive business change.

Additional Information

Google values diversity and inclusion, committing to equal employment opportunities for all individuals regardless of demographics or backgrounds. This commitment extends to providing reasonable accommodations for candidates with disabilities. Applicants who require accommodations are encouraged to inform Google accordingly.