Business Data Scientist, Ads Marketing Analytics

About The Role

As a Business Data Scientist on the Ads Marketing data science team at Google, you will immerse yourself in data collection, draw insights from analysis, and develop compelling, synthesized recommendations. You will perform deep data analytics, drive initiatives in experimentation, measurement, and advance machine learning modeling capability to support global marketing programs. This role involves close collaboration with a multidisciplinary team of marketing, product management, data scientists, and engineers to tap into underlying data, develop and align on key metrics/methodologies, and generate insights that enable marketers to create powerful, highly effective marketing programs.

You will leverage core Data Science expertise to design, prototype, and build out analysis pipelines to support initiatives and Marketing campaigns, perform analytics, design and execute on experimentation, and conduct incrementality measurement analysis. This work will inform key decisions for marketing programs across the entire Ads Marketing space, from acquisition, onboarding, and growth.

Minimum Qualifications

• 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 relevant PhD degree.

Preferred Qualifications

• PhD degree in Statistics or related quantitative discipline.
• 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
• Experience in controlled experiment design and causal inference methods.

Responsibilities

• Work with large data sets. Solve analysis problems, applying advanced investigative methods (such as statistical and machine learning models) as needed.
• Conduct analysis that includes problem formulation, data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
• Design and analyze controlled experiments or counterfactual causal inference studies to examine the incremental impact of Ads marketing programs.
• Build and prototype analysis pipelines iteratively to provide insights. Develop comprehensive knowledge of Google data structures and metrics, advocating for changes where needed.
• Interact cross-functionally, making business recommendations (e.g. cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
• Develop and automate reports, iteratively build and prototype dashboards to provide insights, solving for business priorities.

Key skills/competency

• Data Analysis
• Machine Learning
• Statistical Modeling
• Experiment Design
• Causal Inference
• Python
• R
• SQL
• Business Recommendations
• Cross-functional Collaboration