Senior Data Scientist Manager, Product, LearnX

Google is seeking a Senior Data Scientist Manager to join their Product team, specifically for LearnX. This role combines technical leadership with strategic thinking, requiring someone who can drive data-driven decision-making across the organization. The position offers an attractive compensation package of $214,000-$305,000 plus bonus, equity, and benefits.

As the head of Data Science, you'll be responsible for identifying and prioritizing key problems, developing metrics, and innovating on new methodologies and tools. The role requires deep expertise in statistical analysis, data mining, and programming languages like Python, R, and SQL. You'll need to demonstrate both technical prowess and leadership ability, with at least 7 years of experience in statistical data analysis and project management.

The ideal candidate will have a Master's degree in a quantitative field and significant experience using analytics to solve product or business problems. You'll work with Google's massive user base of over a billion people, providing quantitative support and market understanding to partners throughout the organization. Your responsibilities will include performing complex analyses, directing projects, and leading teams to implement statistical models and drive improvements.

At Google, you'll be part of an engineering-driven culture that values innovation and technical excellence. The company offers comprehensive benefits and is committed to creating an inclusive environment that represents their diverse user base. This role presents an opportunity to make a significant impact on Google's products while working with cutting-edge technology and leading a team of talented data scientists.

The position is based in New York City, offering the chance to work in one of Google's major tech hubs. You'll be expected to collaborate across functions, communicate findings effectively to stakeholders, and drive strategic decisions through data-driven insights. This role is perfect for someone who combines technical expertise with leadership skills and wants to shape the future of Google's products through data science.