Data Science Research, Search, Real World JourneyApply
Note: Please submit your resume in English - we can only consider applications submitted in this language.
Minimum Qualifications:Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.Preferred Qualifications:5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.4 years of work experience analyzing data and creating reports with statistical, quantitative modeling, and forecasting.3 years of experience in an applied research setting.Experience with Python, R, or other scripting languages.Experience in survey research, with knowledge of statistics and a statistical software package (e.g., R, SPSS, Stata, SAS).About the JobAt 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.
Google Research addresses challenges that define the technology of today and tomorrow.
From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.
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