Business Data Scientist, Marketing Analytics, Google Ads

Google
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Job Description

Minimum qualifications:

  • Master's degree in a quantitative field (e.g., Statistics, Mathematics, etc.) or equivalent practical experience.
  • Experience in quantitative marketing data science, product data science, risk modeling, or similar field.
  • Experience in R or Python, and one scripting/statistical programming language for implementing statistical analysis/machine learning models.

Preferred qualifications:

  • PhD in Statistics, Computer Science, Econometrics, or a related quantitative field.
  • Experience in controlled experiment design and causal inference methods.
  • Experience with machine learning on large-scale computing systems like Hadoop, MapReduce, or similar environments.
  • Experience leveraging data insights into storytelling for business stakeholders.
  • Ability to influence business stakeholders and communicate complicated analysis insights to non-technical audiences.
  • Excellent leadership and self-direction skills, with the ability to both teach others, and learn new techniques.

About the job

Google's Small and Medium Business Marketing team aims to help small and medium businesses 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 Google Ads business growth with machine learning, statistical analytics, online experimentation, and big data.

As a Business Data Scientist on the Google Ads Marketing Analytics team, you will direct measurement, analytics, and machine learning modeling initiatives supporting global marketing programs. You’ll drive analytics for global customer acquisitions, retention, and growth marketing programs. Your insights will enable marketers to develop valuable, highly effective programs. You will influence Google’s strategy for onboarding and retaining its advertising customers.

In this role, you will design and perform statistical analyses that continuously improve the efficiency and impact of Google Ads campaigns. You’ll be part of a larger data science community, collaborating with regional and global analysts on their projects. Additionally, you’ll work across Sales, Marketing, and Engineering teams to embed advanced models and measurement into production systems.

Responsibilities

  • Work with large, complex datasets to 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 Google 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

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
    139,995
  • Location
    1600 Amphitheatre Parkway, Mountain View, CA 94043, USA
  • Website
  • Jobs Posted

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Google is currently hiring Business Data Scientist Jobs in New York, NY, USA with average base salary of $120,000 - $190,000 / Year.

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