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Data Scientist, Search Platforms
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Google
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Cambridge, MA, USA; Mountain View, CA, USA
Minimum qualifications
Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
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 3 years of work experience with a PhD degree.
Preferred qualifications
8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
Experience articulating business questions and using mathematical techniques to arrive at an answer using available data.
Experience translating analysis results into business recommendations.
Ability to select the most appropriate statistical tools for a given data analysis problem, paired with outstanding written and verbal communication.
About The Job Search Platform Data Science team works on understanding and measuring Search systems, including but not limited to Experiment, Reliability, Velocity, Latency, Capacity, Content, Logs Quality and Search Infrastructure.
In this role, you will work on defining and developing the system metrics that would let us understand how effective and efficient our systems are, and how they interact with each other (and other Google systems). The Search Platforms Data Scientist (SPDS) team partners with engineering and product teams in Search Platforms on system-level optimizations, and collaborates closely with Search verticals and horizontal teams, Site Reliability Engineering (SREs), Core to
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Data Scientist, Search Platforms
role at
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Cambridge, MA, USA; Mountain View, CA, USA
Minimum qualifications
Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
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 3 years of work experience with a PhD degree.
Preferred qualifications
8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
Experience articulating business questions and using mathematical techniques to arrive at an answer using available data.
Experience translating analysis results into business recommendations.
Ability to select the most appropriate statistical tools for a given data analysis problem, paired with outstanding written and verbal communication.
About The Job Search Platform Data Science team works on understanding and measuring Search systems, including but not limited to Experiment, Reliability, Velocity, Latency, Capacity, Content, Logs Quality and Search Infrastructure.
In this role, you will work on defining and developing the system metrics that would let us understand how effective and efficient our systems are, and how they interact with each other (and other Google systems). The Search Platforms Data Scientist (SPDS) team partners with engineering and product teams in Search Platforms on system-level optimizations, and collaborates closely with Search verticals and horizontal teams, Site Reliability Engineering (SREs), Core to
#J-18808-Ljbffr