Staff Data Scientist, Applied Research, Search Platforms
Staff Data Scientist, Applied Research, Search Platforms
Job Description
Google | Mountain View, CA, USA; Cambridge, MA, USA. Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 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. Search Platforms Data Science team focuses on understanding and measuring Search systems. Data Scientists in Search Platforms 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 team partners with Engineering and Product teams in Search Platforms on system-level optimizations, and collaborates closely with Search verticals and horizontal teams, SREs, Core to understand the impact of system changes on user experience and on Google business. 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.
Locations
- Mountain View, CA, USA
- Cambridge, MA, USA
Salary
197,000 - 291,000 USD / yearly (Negotiable)
Estimated Salary Rangehigh confidence
220,000 - 350,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate (programming)
- Rintermediate (programming)
- SQLintermediate (database)
- Statistical Analysisadvanced (data science)
- Statistical Modelingadvanced (data science)
- Data Analysisadvanced (data science)
- Experimental Designadvanced (research)
- Strategic Analysisadvanced (business)
- Metric Reportingadvanced (business)
Required Qualifications
- Master's degree (degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field)
- Work experience using analytics to solve product or business problems (experience, 8 years)
- Work experience using analytics to solve product or business problems with PhD (experience, 6 years)
Responsibilities
- Work with large, complex data sets
- Solve difficult, non-routine analysis problems, apply advanced problem-solving methods
- 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 a comprehensive understanding of Google data structures and metrics, advocating for changes where needed for both product development
- 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 with effective 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
Benefits
- compensation: Bonus + equity + benefits
- professional development: Opportunity to make an impact on billions of people globally
- diversity: Equal opportunity employer committed to building a representative workforce
Tags & Categories
Staff Data Scientist, Applied Research, Search Platforms
Staff Data Scientist, Applied Research, Search Platforms
Job Description
Google | Mountain View, CA, USA; Cambridge, MA, USA. Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 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. Search Platforms Data Science team focuses on understanding and measuring Search systems. Data Scientists in Search Platforms 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 team partners with Engineering and Product teams in Search Platforms on system-level optimizations, and collaborates closely with Search verticals and horizontal teams, SREs, Core to understand the impact of system changes on user experience and on Google business. 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.
Locations
- Mountain View, CA, USA
- Cambridge, MA, USA
Salary
197,000 - 291,000 USD / yearly (Negotiable)
Estimated Salary Rangehigh confidence
220,000 - 350,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate (programming)
- Rintermediate (programming)
- SQLintermediate (database)
- Statistical Analysisadvanced (data science)
- Statistical Modelingadvanced (data science)
- Data Analysisadvanced (data science)
- Experimental Designadvanced (research)
- Strategic Analysisadvanced (business)
- Metric Reportingadvanced (business)
Required Qualifications
- Master's degree (degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field)
- Work experience using analytics to solve product or business problems (experience, 8 years)
- Work experience using analytics to solve product or business problems with PhD (experience, 6 years)
Responsibilities
- Work with large, complex data sets
- Solve difficult, non-routine analysis problems, apply advanced problem-solving methods
- 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 a comprehensive understanding of Google data structures and metrics, advocating for changes where needed for both product development
- 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 with effective 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
Benefits
- compensation: Bonus + equity + benefits
- professional development: Opportunity to make an impact on billions of people globally
- diversity: Equal opportunity employer committed to building a representative workforce
Tags & Categories