Marketing Data Scientist

Role Overview: As a Data Scientist in the Marketing team at Google, you will be responsible for driving key measurement and analytics programs that have a scaled impact on Google Marketing across media campaigns. You will work closely with your team to deliver project work including implementing data science solutions, improving data pipelines, running geo-experiments, and developing evaluation metrics. Your role will involve owning measurement, defining milestones, providing direction for agencies/vendors, delegating tasks, prioritizing, planning, and directing a group of people to drive projects to completion. Additionally, you will play a strategic and technical role in media, marketing, analytics, and collaborate with internal teams to evaluate strategic initiatives. Your innovative solutions will demonstrate the effectiveness of Google's media investment on a global scale while maintaining regional focus. Key Responsibilities: - Utilize your knowledge of data analytics to develop solutions for marketing challenges and identify optimization opportunities to enhance brand and performance marketing. - Develop measurement plans, tracking requirements, reporting, metrics, and benchmarks for large campaigns to understand the incremental impact of marketing spend (e.g., conversion lift tests, matched market analyses, brand lift studies). - Collaborate with internal teams on advanced analytics work involving experimentation, measurement, and modeling. - Implement a customer-centric, data-driven approach based on a people-based marketing strategy to build, segment, and test audiences for optimal business outcomes. - Create evaluation frameworks for large-scale models, new metrics, and investigate anomalies. - Tackle ambiguous problems by defining technical priorities and innovating on statistical methods. Qualifications Required: - Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. - Minimum of 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, or statistical analysis, or a PhD degree. - Knowledge of R or Python for statistical analysis and SQL. Preferred Qualifications: - Experience in delivering meta-analysis, fully automated analytics pipelines, or audience segmentation and propensity. - Familiarity with experimental design and supervised/unsupervised machine learning approaches for regression and classification tasks. - Proficiency in root cause analysis to solve problems at both tactical and strategic levels. - Understanding of Bayesian approaches and modeling frameworks. - Ability to generate practical solutions for marketing analytics problems and drive business change in collaboration with cross-functional stakeholders. (Note: The additional details of the company were not present in the provided job description.) Role Overview: As a Data Scientist in the Marketing team at Google, you will be responsible for driving key measurement and analytics programs that have a scaled impact on Google Marketing across media campaigns. You will work closely with your team to deliver project work including implementing data science solutions, improving data pipelines, running geo-experiments, and developing evaluation metrics. Your role will involve owning measurement, defining milestones, providing direction for agencies/vendors, delegating tasks, prioritizing, planning, and directing a group of people to drive projects to completion. Additionally, you will play a strategic and technical role in media, marketing, analytics, and collaborate with internal teams to evaluate strategic initiatives. Your innovative solutions will demonstrate the effectiveness of Google's media investment on a global scale while maintaining regional focus. Key Responsibilities: - Utilize your knowledge of data analytics to develop solutions for marketing challenges and identify optimization opportunities to enhance brand and performance marketing. - Develop measurement plans, tracking requirements, reporting, metrics, and benchmarks for large campaigns to understand the incremental impact of marketing spend (e.g., conversion lift tests, matched market analyses, brand lift studies). - Collaborate with internal teams on advanced analytics work involving experimentation, measurement, and modeling. - Implement a customer-centric, data-driven approach based on a people-based marketing strategy to build, segment, and test audiences for optimal business outcomes. - Create evaluation frameworks for large-scale models, new metrics, and investigate anomalies. - Tackle ambiguous problems by defining technical priorities and innovating on statistical methods. Qualifications Required: - Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. - Minimum of 3 years of experience using analytics to solve product or business problems, co