Business Data Scientist, Ads Marketing Analytics

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Job Description

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA; Redwood City, CA, USA; San Francisco, CA, USA.


Minimum qualifications:

  • Master's degree in a quantitative field (Statistics, Mathematics, etc.) or equivalent practical experience
  • 2 years of experience in quantitative marketing data science, product data science, risk modeling, or similar
  • Experience in SQL and one scripting/statistical programming language to implement statistical analysis/machine learning models
  • Experience leveraging data insights into storytelling for business stakeholders

Preferred qualifications:

  • PhD in Statistics, Computer Science, Econometrics, or a related quantitative field
  • 3 years of relevant work experience, including expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, 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 convince business stakeholders and communicate complicated analysis insights to non-technical audiences
  • Demonstrated leadership and self-direction, with a willingness to both teach others, and learn new techniques

About the job

Google's Small and Medium Business Marketing team aims to help SMBs across the globe be found and succeed on the web. To help achieve this, we run scaled marketing programs to help our potential and existing users in a tailored way. The Analytics team empowers Ads business growth with Machine Learning, Statistical Analytics, Online Experimentation, and Big Data.

In this role on the Ads Marketing Data Science team, you will drive measurement, analytics, and machine learning modeling initiatives supporting global marketing programs. You will drive analytics for global customer acquisitions, retention, and growth marketing programs. You will be innovative, analytical, and an effective communicator whose insights enable marketers to develop valuable, highly effective programs. Your work will influence Google’s strategy for onboarding and retaining its advertising customers. You will design and perform statistical analyses that continuously improve the efficiency and impact of Ads campaigns. You will be part of a larger data science community, collaborating with regional and global analysts on their projects. Additionally, you will work across Sales, Marketing, and Engineering teams to embed advanced models and measurement into production systems.


  • Work with large, complex datasets. 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 build and prototype 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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