Staff Product Data Scientist Manager, Search Ads
corporatefare_ Google place Mountain View, CA, USA
Advanced
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
Minimum qualifications:
Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years work experience with a Master's degree).
3 years of experience as a people manager within a technical leadership role.
Experience working with digital advertising systems or online advertising metrics.
Preferred qualifications:
Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
4 years of experience as a people manager within a technical leadership role.
About the job
As a Staff Data Scientist and Technical Lead Manager for Search Ads in the Ads Metrics Data Science team, you will lead a team of data scientists directly contributing to Google's revenue growth.You will support the Search Ads and Google Experience organization in developing some of the most important ad products at Google, which are complex, advanced, and rapidly growing.
In this role, you will guide product development and executive decisions with rigorous data science, measuring the long-term impact of changes on users, advertisers, and Google's systems with innovative experiment designs and deep data analysis.In this role, you will work closely with engineering and product management collaborators to improve products and partner with ads executives to drive long-term business value.If you are passionate about leadership, coaching, and solving high-impact quantitative challenges, join us to shape the future of Search 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $192000 - $279000 (USD) + 20% bonus target + equity + benefits
Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Responsibilities
Lead and mentor a team of junior and senior data scientists, serving as a role model and professional coach to develop colleagues' capabilities, stretch their skills, and uphold high standards of accountability.
Initiate and execute complex, ambiguous statistical analysis and modeling projects to optimize the Search Ads serving system and deliver rigorous, actionable insights that drive revenue growth.
Design and implement innovative experiment designs, statistical models, and measurement frameworks to analyze the long-term impact of product changes on users, advertisers, and Google's systems.
Partner and align with engineering, product management, and executive leadership, as well as cross-functional stakeholders in sales and customer solutions, to guide product strategy and assist in decision-making.
Manage project life-cycles by covering problem definition, metrics development, data extraction and manipulation, visualization, and presentation of findings to stakeholders across multiple organizations.
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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/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 alsoGoogle'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/) , andHow we hire (https://careers.google.com/how-we-hire/) .
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
