Senior Data Scientist

Google's YouTube optimization team is seeking a Senior Data Scientist to join their advertising performance enhancement initiative. This role focuses on delivering excellent performance for YouTube advertisers by managing spend and translating business goals into real-time decision-making systems. The position requires expertise in mathematical and statistical modeling, auction theory, risk management, and machine learning.

The ideal candidate will work with cross-functional teams to optimize advertising systems using advanced analytics and modeling techniques. They will be responsible for developing and implementing sophisticated data models that power YouTube's advertising backend systems. This role offers an opportunity to impact billions of users while working with cutting-edge technology and data science techniques.

The position offers a competitive compensation package including a base salary range of $150,000-$223,000, plus bonus, equity, and comprehensive benefits. The role requires at least 5 years of experience (or 3 with a PhD) in analytics, coding, and statistical analysis, with preferred experience of 8 years (or 6 with a PhD).

This is an excellent opportunity for a data scientist who wants to work on large-scale problems that directly impact Google's advertising business. The role combines technical expertise with business acumen, requiring both strong analytical skills and the ability to collaborate with stakeholders to translate business questions into actionable metrics and models.

The position is based in Mountain View, CA, and offers the chance to work with world-class talent in a company known for innovation. The successful candidate will join a team responsible for developing optimization systems using various tools, including deep networks and Bayesian methods, making this an ideal role for someone passionate about applying advanced data science techniques to real-world business challenges.