Google, a pioneer in digital advertising, is seeking a Senior Data Scientist to join their Ads Insight and Measurement team. This role is crucial in shaping the future of digital advertising through data-driven decisions and scientific approaches. The position combines advanced analytics with business impact, focusing on making advertising both effective for businesses and valuable for users.
The role requires expertise in statistical analysis, data science, and programming, with hands-on experience in Python, R, and SQL. You'll be working at the intersection of big data and business strategy, developing models and conducting analyses that directly impact Google's advertising ecosystem. The position offers an opportunity to work with cutting-edge technology and massive datasets while solving complex problems in digital advertising.
As a Senior Data Scientist, you'll collaborate with cross-functional teams to translate business questions into actionable analyses, design and implement sophisticated mathematical models, and use causal inference methods to establish meaningful insights. The role involves working with privacy-preserving advertising solutions, ensuring that data analysis maintains user privacy while delivering valuable insights.
The position offers competitive compensation, including a base salary range of $150,000-$223,000, plus bonus, equity, and comprehensive benefits. This is an excellent opportunity for quantitative professionals who want to impact billions of users while working at one of the world's leading technology companies. The role combines technical expertise with business acumen, making it ideal for those who want to drive data-driven decision-making at scale.
You'll be joining a team that's essential to Google's advertising business, working on projects that help advertisers optimize their campaigns, improve ad effectiveness, and enhance user experience. The role offers significant growth potential and the chance to work with some of the best minds in the industry while solving challenging problems in digital advertising and measurement.