Data Scientist Manager II, Product

Google is seeking a Data Scientist Manager II to join their Product team, offering a competitive salary range of $168,000-$252,000 plus comprehensive benefits. This role combines technical leadership with people management, requiring 10 years of analytics experience and 3 years of management experience. The position involves leading complex data analysis projects, developing strategic insights, and managing teams across multiple locations including Mountain View, New York, and San Francisco.

As a Data Scientist Manager, you'll be responsible for providing quantitative support and market understanding to partners throughout Google's organization. The role requires expertise in tools like SQL, Python, and R to perform sophisticated analyses and create meaningful insights from data. You'll work with Engineering and Product Management teams to make critical recommendations that impact Google's billion-plus user base.

The ideal candidate will have a strong background in statistics, mathematics, or a related quantitative field, with proven experience in both technical execution and people management. You'll be expected to lead complex projects, develop process improvements, and help define operational goals while mentoring and developing team members.

Google offers an exceptional work environment with opportunities to impact users worldwide through technological innovation. The company provides comprehensive benefits including equity, bonuses, and various health and wellness programs. This role represents an opportunity to join one of the world's leading technology companies and contribute to products that serve billions of users while leading and developing a team of talented data scientists.

The position combines technical expertise with strategic thinking and leadership skills, making it ideal for candidates who enjoy both hands-on analysis and team management. You'll be part of Google's engineering-driven culture, working on challenging problems and contributing to the company's continued innovation in data science and analytics.