Staff Data Scientist, Ads Insights and Measurement

As a Quantitative Analyst at Google, your role will be crucial in driving data-informed decision-making across the organization. With a Master's degree in Statistics or Economics, or a related field, along with 8 years of experience in using analytics to tackle product or business challenges, you will be expected to leverage your expertise in coding (e.g., Python, R, SQL) and statistical analysis. Alternatively, if you hold a PhD, 6 years of relevant work experience will also be considered. Your responsibilities will revolve around conducting statistical data analysis encompassing linear models, multivariate analysis, causal inference, and sampling methods. Proficiency in statistical software such as SQL, R, Python, MATLAB, and pandas, as well as database languages, will be essential in executing tasks related to Statistical Analysis, Modeling, and Inference. Preferred qualifications for this role include the ability to translate analysis outcomes into actionable business recommendations. You should possess a deep understanding of causal inference methods like split-testing, instrumental variables, difference-in-difference methods, among others. Moreover, your experience should include selecting appropriate tools for resolving data analysis challenges, articulating business queries, and utilizing data-driven approaches to arrive at solutions. Familiarity with structural econometric methods will be an added advantage. In this position, you will collaborate with various teams and leaders within Google, partnering with Engineers and Product Managers to identify opportunities for design enhancements and assess improvements in advertising measurement products. Your role will involve defining questions related to advertising effectiveness, incrementality assessment, privacy impact, user behavior, brand building, bidding strategies, among others. You will be responsible for developing and implementing quantitative methods to address these questions, working with large and intricate data sets. Your analytical prowess will be put to the test as you tackle complex and non-routine analysis problems, applying advanced methods to derive meaningful insights. From data gathering and exploratory data analysis to model development and result delivery, you will play a vital role in shaping Google's operational efficiency and client solutions. By building and iterating on analysis pipelines, you will provide scalable insights and advocate for necessary changes in Google's data structures and metrics to drive product development forward.,