Marketing Data Scientist

Role Overview

As a Data Scientist in the Marketing team, you will drive key measurement and analytics programs that deliver a scaled impact for Google Marketing across media campaigns. You will support your team by delivering pieces of project work including supporting the implementation of data science solutions, supporting the improvement of data pipelines, managing APAC’s share of global projects, or helping your team develop evaluation metrics and best practices that provide insights to the business.

What You Will Do

Use your knowledge of data analytics to develop solutions for marketing challenges, while also uncovering opportunities for measurement and optimization to push brand and performance marketing to the next level. Build cross-product measurement and testing plans, tracking requirements, reporting, metrics, and benchmarks for our largest campaigns to optimize for the incremental impact of our marketing dollars.

Why It Might Be a Fit

You will play a strategic and technical role in driving all things media, marketing, analytics, and partnering with internal teams to evaluate strategic initiatives. Using first-party and third-party data sources, you will create innovative solutions to demonstrate the effectiveness of Google’s media investment.

Requirements

• Master’s degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience
• 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
• Experience translating business problems into research questions and translating research findings and insights into media and marketing recommendations
• Experience delivering meta-analysis, fully automated analytics pipelines or audience segmentation and propensity modeling
• Research experience in designing, scoping, and managing brand measurement including panel setup and tracking, media brand lift measurement, agency management, and statistical testing
• Applied knowledge of R or Python for statistical analysis and SQL
• Proven ability to generate practical solutions for marketing analytics problems and use results to drive business change in partnership with cross-functional stakeholders

Tagged as: Data Analysis, Python, SQL