Google Inc.
Senior Data Scientist, Research, Ads Metrics
Google Inc., Mountain View, California, us, 94039
Senior Data Scientist, Research, Ads Metrics
Mountain View, CA, USA
Mid
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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.
About the job Ads Metrics is the Data Science team for Search and Owned and Operated (O&O) 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. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
Compensation The US base salary range for this full‑time position is $166,000–$244,000 plus bonus, equity, and benefits. Salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Benefits Learn more about benefits at Google: https://careers.google.com/benefits/.
Responsibilities
Collaborate with stakeholders in cross‑project 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.
Own the process of gathering, extracting, and compiling data across sources via relevant tools. Separately format, re‑structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
Support and lead Search Ads GenAI effort using data science and research, develop and maintain north‑star metrics for Search Ads to make data‑driven decisions. Drive applied research to improve search ads experimentation infrastructure and A/B experiments methodology.
Equal Employment Opportunity Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google’s EEO Policy: https://www.google.com/about/careers/applications/eeo/. Know your rights: workplace discrimination is illegal: https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf. Belonging at Google: https://about.google/belonging/. How we hire: https://careers.google.com/how-we-hire/.
Privacy and Accommodation Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit, is subject to Google's Applicant and Candidate Privacy Policy: privacy-policy.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
Recruitment Agency Notice Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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Mid
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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.
About the job Ads Metrics is the Data Science team for Search and Owned and Operated (O&O) 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. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
Compensation The US base salary range for this full‑time position is $166,000–$244,000 plus bonus, equity, and benefits. Salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Benefits Learn more about benefits at Google: https://careers.google.com/benefits/.
Responsibilities
Collaborate with stakeholders in cross‑project 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.
Own the process of gathering, extracting, and compiling data across sources via relevant tools. Separately format, re‑structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
Support and lead Search Ads GenAI effort using data science and research, develop and maintain north‑star metrics for Search Ads to make data‑driven decisions. Drive applied research to improve search ads experimentation infrastructure and A/B experiments methodology.
Equal Employment Opportunity Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google’s EEO Policy: https://www.google.com/about/careers/applications/eeo/. Know your rights: workplace discrimination is illegal: https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf. Belonging at Google: https://about.google/belonging/. How we hire: https://careers.google.com/how-we-hire/.
Privacy and Accommodation Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit, is subject to Google's Applicant and Candidate Privacy Policy: privacy-policy.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
Recruitment Agency Notice Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
#J-18808-Ljbffr