Data scientist, Ads Insight and Measurement

Data scientist, Ads Insight and Measurement

corporate_fare Google place New York, NY, USA ; Mountain View, CA, USA

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info_outline X Note : 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 .

• 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 :

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 about benefits at Google.

Responsibilities

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 also Google's EEO Policy , Know your rights : workplace discrimination is illegal , Belonging at Google , and How we hire .

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.

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