Data Scientist, Research, Ads Insight and Measurement

Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Los Angeles, CA, 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, sampling methods.

• PhD degree in a quantitative discipline.
• Experience 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 both teach others and learn new techniques such as differential privacy, with excellent leadership and self-initiation.
• Ability to select the right statistical tools to solve a data analysis problem.
• Excellent written and verbal communication skills, with a passion for practical application of science to business.

Data scientists in our team bring scientific excellence and statistical methods to bear on the challenges of advertising product creation, development and improvement with a deep, data-driven appreciation for the behaviors of the end user and the ecosystem.

As a Data Scientist on our team, you will develop, evaluate and improve the entire range of Google's advertising products including Search, Display, Apps, TV and Video. You will collaborate closely with engineers, analysts and product managers to develop new science and translate it into deployed products. You will be 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. You will be a key part of building and driving impact on ad-systems both at Google and in the ad-tech and mar-tech industry globally.

You will have a broad set of technical skills and are 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 with an understanding of statistics and causal inference methods. You will also have interest in understanding consumer behavior, advertising and privacy with a passion for business problems, and an interest in combining data and strategy. Additionally, you will be comfortable working cross-functionally and thrive in a changing, science-driven organization, with an interest in data-driven advertising and marketing, and in the role of technology and science in shaping these areas.

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.

• Suggest, support and shape new data-driven and privacy-preserving 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. Develop and implement quantitative methods to answer those questions.
• Combine experimentation, statistical-econometric, machine learning and social-science methods to answer business questions.
• 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 data sets. Solve difficult analysis problems, applying advanced analytical methods as needed. Conduct end-to-end analyses that include data gathering and requirements specification, exploratory data analysis, model development, and written and verbal delivery of results to business partners and executives.

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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.