Google is seeking a Senior Data Scientist to join their Ads Planning Metrics team, where you'll play a crucial role in helping serve Google's worldwide user base of more than a billion people. As a Data Scientist, you'll provide quantitative support, market understanding, and strategic perspective throughout the organization. You'll be working within Google Ads, which powers the open internet by connecting people, publishers, and advertisers through innovative advertising technology.
In this role, you'll be responsible for designing and analyzing experiments, defining key performance indicators, and developing sophisticated measurement methodologies. You'll work with cross-functional teams to ensure the accuracy and feasibility of measurement strategies, particularly focusing on Ads Planning initiatives. The position requires expertise in statistical analysis, experimental design, and programming skills in languages like Python and SQL.
The ideal candidate will bring a strong quantitative background with at least 8 years of experience in analytics and data science, or 5 years with a Master's degree. You should be well-versed in statistical methods, including linear models, hypothesis testing, and Bayesian methods. This role offers the opportunity to impact Google's advertising products across search, display, shopping, travel, and video advertising, while helping businesses of all sizes achieve measurable results.
Working at Google, you'll be part of a company committed to diversity, equality, and creating value for users worldwide. The role combines technical expertise with business acumen, requiring both analytical skills and the ability to communicate insights effectively to stakeholders. You'll be at the forefront of developing metrics and methodologies that drive decision-making in Google's advertising ecosystem.