Research Data Scientist, Ads Metrics, Ads Experiences
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$147k–$210k/yr
Full-time
postgraduate degree
Bonus, Equity, Health Insurance
Posted 13d ago
~40 hrs/week
Responsibilities
Collaborate with cross-functional stakeholders to translate business questions into tractable mathematical models and evaluation metrics. Own the end-to-end process of gathering, extracting, and validating data to ensure high-quality datasets for analysis.
Requirements
Requires a Master's degree in a quantitative field with at least 3 years of relevant experience, or a PhD. Candidates must be proficient in coding languages such as Python, R, and SQL, and have experience solving complex business problems using analytics.
Full job description
Minimum qualifications:
Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
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.
About the job:
Ads Metrics is the DS team for Search ads. We support the SAGE (Search Ads and Google Experience) organization in developing the most important ad products at Google from classic text ads, to rich shopping ads, to exciting new products like Discovery ads. These products - the heart of Google’s business are complex, advanced, and they are rapidly growing and evolving. The Ads Experiences Data Science team is a subteam within Ads Metrics that drives analyses to help AdsUI team improve ads UI, formats, and whole page experiences.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
Related keywords
Data ScienceStatisticsMathematicsPhysicsEconomicsOperations ResearchEngineeringPythonRSQLDatabaseStatistical AnalysisMathematical ModelingData InfrastructureAds MetricsSearch Ads
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
Check out our career opportunities at goo.gle/3DLEokh
Offices: 1600 Amphitheatre Parkway, Mountain View, CA 94043, US · 111 8th Ave, New York, NY 10011, US · Claude Debussylaan 34, Amsterdam, North Holland 1082 MD, NL · Avenida Brigadeiro Faria Lima, 3477, Sao Paulo, SP 04538-133, BR · 51 Breithaupt St, Kitchener, ON N2H 5G5, CA
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
Check out our career opportunities at goo.gle/3DLEokh
Offices: 1600 Amphitheatre Parkway, Mountain View, CA 94043, US · 111 8th Ave, New York, NY 10011, US · Claude Debussylaan 34, Amsterdam, North Holland 1082 MD, NL · Avenida Brigadeiro Faria Lima, 3477, Sao Paulo, SP 04538-133, BR · 51 Breithaupt St, Kitchener, ON N2H 5G5, CA