Google is seeking a Data Scientist III to join their YouTube Ads Research team in Mountain View, California. This role offers a competitive base salary range of $141,000-$202,000 plus bonus, equity, and comprehensive benefits.
The position focuses on developing auction user cost optimization, user perception survey infrastructure, and improving ads quality through relevance and creative quality metrics. The ideal candidate will have strong analytical and programming skills, particularly in Python, R, and SQL, along with experience in machine learning and causal inference.
This role presents an exciting opportunity to work at one of the world's leading tech companies, specifically on YouTube's advertising platform. You'll be responsible for collaborating with cross-functional teams, developing mathematical models, and driving data-driven decisions that impact both business outcomes and user experience.
The position requires either a Master's degree in a quantitative field with 3 years of relevant experience or a PhD. You'll be working with cutting-edge technology and complex data systems, applying advanced analytical methods to solve challenging problems in digital advertising.
Google offers a comprehensive benefits package and is committed to creating an inclusive workplace environment. The company's culture emphasizes collaboration, innovation, and data-driven decision-making. This role provides an excellent opportunity for career growth and impact in the digital advertising space while working with some of the industry's brightest minds.
The successful candidate will join a team that values both technical expertise and business acumen, working on projects that directly impact YouTube's advertising effectiveness and user experience. The role combines technical depth with business impact, making it an ideal position for someone looking to advance their career in data science while working on meaningful problems at scale.