Data Scientist Manager II, Product

Google, a global technology leader serving billions of users worldwide, is seeking a Data Scientist Manager II for their Product team. This role represents a unique opportunity to drive data-driven decision-making at one of the world's most influential tech companies.

The position combines technical expertise in data science with leadership responsibilities, requiring both deep analytical skills and people management capabilities. As a Data Scientist Manager II, you'll lead a team of data professionals while tackling complex analytical challenges that directly impact Google's product decisions and strategy.

The role demands a strong foundation in statistical analysis, programming (Python, R, SQL), and business acumen, with a minimum of 10 years of relevant experience (or 8 with a Master's degree). You'll be responsible for leading sophisticated analyses, developing analytical frameworks, and mentoring team members while working closely with Engineering and Product Management teams.

This is an excellent opportunity for experienced data leaders who want to make a significant impact at scale. The position offers competitive compensation ($168,000-$252,000 base salary) plus bonus, equity, and comprehensive benefits. You'll work from either San Francisco or New York, collaborating with some of the industry's brightest minds on projects that affect billions of users.

The ideal candidate will combine technical excellence with strategic thinking and leadership skills. You'll need to be comfortable with ambiguity, capable of developing novel solutions to complex problems, and skilled at communicating technical insights to various stakeholders. This role offers the chance to shape the future of Google's products while building and leading high-performing data science teams.

Working at Google means joining a company that values innovation, technical excellence, and inclusive culture. You'll have access to cutting-edge resources and the opportunity to work on projects that have global impact. The role offers significant growth potential and the chance to be at the forefront of technological advancement in data science and product analytics.