Data Scientist Manager II, Research

Google is seeking a Data Scientist Manager II to join their Research team, offering an exceptional opportunity to make a significant impact on products used by billions of users. This role combines technical leadership with people management, requiring both deep analytical expertise and the ability to guide teams effectively.

The position demands a strong foundation in data science, statistics, and programming, with the successful candidate expected to lead complex analytical projects that directly influence Google's product decisions. You'll work at the intersection of big data and product development, using advanced statistical methods and machine learning techniques to derive actionable insights.

As a manager, you'll be responsible for nurturing and developing talent while ensuring your team delivers high-quality analytical solutions. The role offers exposure to various Google products, from Search to YouTube, allowing you to work on diverse and challenging problems that affect users globally.

The compensation package is highly competitive, with a base salary range of $177,000-$266,000, plus additional benefits including bonus and equity. Google's collaborative culture, world-class resources, and commitment to innovation make this an ideal opportunity for experienced data scientists looking to advance their careers in a leadership role.

The position requires 8 years of relevant experience (or 6 with a PhD) and offers the flexibility to work from several major tech hubs including Seattle, San Francisco, and New York. You'll be part of Google's continued mission to organize the world's information and make it universally accessible and useful, while leading a team that drives data-driven decision making across the organization.

This role is perfect for someone who combines technical excellence with leadership abilities, enjoys solving complex problems, and wants to make a lasting impact on products used by billions of people. You'll have the opportunity to work with cutting-edge technology and some of the brightest minds in the industry while helping shape the future of Google's data science initiatives.