Data Scientist, Search Platforms

Google•Cambridge, MA

About The Position

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 understand the impact of system changes on user experience and on Google business.

Requirements

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.

Nice To Haves

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.

Responsibilities

Work with data sets, solve difficult, non-routine analysis problems, applying advanced problem-solving methods as needed.
Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
Build and prototype analysis pipelines iteratively to provide insights at scale.
Develop comprehensive understanding of Google data structures and metrics, advocating for changes where needed for both products development and business activity.
Interact cross-functionally with a wide variety of people and teams.
Work closely with engineers to identify opportunities for, design, and assess improvements to google products.
Make 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.