Data Scientist, Research, Search Platforms

Minimum qualifications:

• Master's degree in Statistics or Economics, a related field, or equivalent practical experience.
  
• 10 years of experience in data science, statistics, or in a computational biologist/bioinformatician role.
  
• Experience with statistical data analysis such as linear models, multivariate analysis, causal inference, or sampling methods.
  
• Experience with statistical software (e.g., SQL, R, Python, MATLAB, pandas) and database languages along with Statistical Analysis, Modeling and Inference.
  

Preferred qualifications:

• Experience translating analysis results into business recommendations.
  
• Experience understanding potential outcomes framework and with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators).
  
• Experience selecting tools to solve data analysis issues.
  
• Experience articulating business questions and using available data to find a solution.
  
• Knowledge of structural econometric methods.
  

About the job

At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Responsibilities

• Solve analysis problems, conduct analysis, data gathering, and requirements specification, ongoing deliverables, and presentations.
• Build and prototype analysis pipelines to provide insights at scale. Develop comprehensive understanding of Google data structures and metrics, advocating for changes for both products development and business activity.
• Interact cross-functionally with a wide variety of people and teams. Work with engineers to identify opportunities for design, and assess improvements to products.
• Make business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
• Research and develop analysis, forecasting, and optimization methods to improve the quality of Google's user-facing products.