Business Data Scientist, Economist

About the job

In this role, you will be an internal consultant tasked with helping Google make better decisions through the use of causal inference. You will be working with many teams such as Finance, Product, Engineering, Business, Marketing, Legal, Policy, and Research. Your job will be to help decision-makers at Google make informed choices using econometric and statistical methods. You will have excellent communication skills in addition to technical expertise. You will translate vague questions into concrete problems on which you can design studies, and communicate findings to non-technical audiences while effectively conveying uncertainty and the assumptions used in your analysis.

You will have experience with modern methods in causal inference and Machine Learning (ML). Google uses a large set of tools from experimental to observational techniques, touching on a broad range of problems from different functional and product areas. When available methodologies are not well-suited for the problem you are trying to solve, you will need to develop new techniques and models.

The name Google came from "googol," a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all manner of strategic decisions across Google products. From developing forward-thinking analysis to generating management reports to scaling our automated financial processes, the Finance organization is an important partner and advisor to the business.