Data Scientist, Ads Marketing Analytics

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Job Description

Minimum qualifications:

  • Master's degree in a quantitative field (e.g., Statistics, Mathematics, Bioinformatics, Economics, etc.) or equivalent practical experience
  • 2 years of experience in a data science related field
  • Experience with statistical software (e.g., R, Python, MATLAB) and database languages (i.e. SQL)
  • Experience leveraging data insights into storytelling for business stakeholders

Preferred qualifications:

  • PhD in Statistics or a related quantitative discipline
  • 2 years of experience with statistical data analysis such as generalized linear models, multivariate analysis, clustering/segmentation, and sampling methods
  • Experience in controlled experiment design and causal inference methods
  • Experience with machine learning on large-scale computing systems like Hadoop, MapReduce, or similar environments
  • Ability to prioritize requests and partner well in an environment with competing demands from stakeholders
  • Excellent communication skills

About the job

Google Ads Marketing aims to help advertisers of all sizes succeed with digital marketing. In this role, you will work with a team to advance the science of Marketing to customers that use Google’s advertising solutions. This is a unique opportunity to apply the tools of Data Science to accelerate Ads business growth, working cross-functionally with Sales, Marketing, and Product teams.

You will perform data analytics, drive initiatives in experimentation, measurement, and advance machine learning modeling capability to support global marketing programs. In collaboration with a multidisciplinary team of Marketing, Product Management, Data Scientists, and Engineers, you will tap into the underlying data, develop and align on key metrics/methodologies, and generate insights that enable marketers to develop 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 at scale. You'll perform analytics, design and execute on experimentation, and conduct incremental measurement analysis to inform strategic decisions of the marketing programs across the entire Ads Marketing space, from acquisition, onboarding, growth, and retention.

You will build analytical frameworks and measurement capabilities to generate data driven insights that drive business growth. You will present and communicate effectively to marketing partners and leadership, data-driven insights and analytic results to inform on decision making.


  • Work with large, complex data sets. Solve complex analysis problems, applying advanced analytical methods (e.g., 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 at scale. 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 building and prototyping dashboards to provide insights at scale, solving for business priorities.

Company Info.


Google LLC is an American multinational technology company that focuses on search engine technology, online advertising, cloud computing, computer software, quantum computing, e-commerce, artificial intelligence, and consumer electronics. It has been referred to as the -most powerful company in the world- and one of the world's most valuable brands due to its market dominance, data collection, and technological advantages in the area of AI.

  • Industry
    E-commerce,Artificial intelligence,Internet services,Cloud computing,Computer software,Advertising,Computer hardware,Consumer electronics
  • No. of Employees
  • Location
    1600 Amphitheatre Parkway, Mountain View, CA 94043, USA
  • Website
  • Jobs Posted

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