Google is seeking a Data Scientist to join their Search Ads team, focusing on research and analytics to drive product improvements. This role combines technical expertise with business impact, requiring strong analytical and programming skills. The position offers an opportunity to work on large-scale data problems that affect millions of users worldwide.
As a Data Scientist at Google, you'll be part of a company that values engineering excellence and innovation. You'll work with cross-functional teams to identify, analyze, and solve complex business and product challenges. The role involves using advanced statistical methods and machine learning techniques to evaluate and improve Google's products, particularly in the Search Ads domain.
The ideal candidate will bring strong quantitative skills, programming expertise in languages like Python and SQL, and the ability to translate business questions into actionable analyses. You'll be responsible for designing and implementing sophisticated analytical models, working with large-scale data sets, and communicating findings to stakeholders across the organization.
This position offers competitive compensation, including a base salary range of $141,000-$202,000, plus bonus, equity, and comprehensive benefits. Located in Mountain View, CA, you'll be at the heart of Google's innovation center, working alongside talented professionals who are passionate about using data to drive product decisions.
The role requires a Master's degree in a quantitative field and at least 3 years of relevant experience (or PhD equivalent). You'll be expected to demonstrate expertise in statistical analysis, data manipulation, and programming, while also showing strong communication and collaboration skills. This is an excellent opportunity for someone who wants to make a significant impact at one of the world's leading technology companies.