Job Description

Data scientist, Ads Insight and Measurement _corporate_fare_ Google _place_ New York, NY, USA; Mountain View, CA, USA **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **New York, NY, USA; Mountain View, CA, USA** . **Minimum qualifications:** + Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. + 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. + Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, and sampling methods. **Preferred qualifications:** + PhD degree in a Quantitative discipline. + Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods with machine learning on large datasets. + Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data. + Ability to select the right statistical tools to solve a data analysis problem. + Ability to both teach others and learn new techniques such as differential privacy, with excellent leadership and self-initiation skills. **About the job** As a Data Scientist, you will apply scientific and statistical methods to the challenges of advertising product creation, development, and improvement, bringing a data-driven appreciation for the behaviors of the end user and the ecosystem. Working within Ads Insights and Measurement, you will develop, evaluate, and improve the entire range of Google's advertising products, including Search, Display, Apps, TV, and Video (YouTube). You will collaborate closely with a multidisciplinary team of engineers, analysts, and product managers to develop new scientific approaches and translate them into deployed products at scale. You will play a key role in developing new ideas and methods that drive ad measurement and business generation, including paradigm-shifting ad-measurement science and products for the privacy-preserving future of digital advertising. In doing so, you will drive impact on ad systems both at Google and in the global ad-tech and mar-tech industries. Armed with a broad set of technical skills, you will be ready to take on some of modern advertising's greatest challenges and make an impact on the entire global ads ecosystem. You will be quantitatively trained, with expertise in quantitative methodologies and an understanding of statistics and causal inference methods. You will understand consumer behavior, advertising, and privacy, possessing a passion for business problems and an interest in combining data and strategy.The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our 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. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google ( . **Responsibilities** + Help suggest, support and shape new data-driven advertising and marketing products in collaboration with engineering, product and customer facing teams. + Collaborate with teams to define relevant questions about advertising effectiveness, incrementality assessment, the impact of privacy, user behavior, brand building, targeting, bidding etc., and develop and implement quantitative methods to answer those questions. + Find ways to combine experimentation, statistical-econometric, machine learning and social-science methods to answer business questions at scale. + Use causal inference methods to design and suggest experiments and new ways to establish causality, assess attribution and answer strategic questions using data. + Work with large, complex data sets. Solve difficult analysis problems, applying advanced analytical methods. Conduct end-to-end analyses that include data gathering and requirements specification, exploratory data analysis, model development, and written and oral delivery of results to business partners and executives. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . 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 ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( . If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( . 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. To all recruitment agencies: 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. 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 and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

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Full time, Shift work,

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