Staff Data Scientist, ML Efficiency Data Science

Google is seeking a Staff Data Scientist to join their ML Efficiency Data Science team within Google Cloud. This role is crucial in providing insights and analytics services that help ML infrastructure service consumers effectively use ML resources for training and serving ML models. The position offers a competitive base salary range of $183,000-$271,000 plus additional benefits and equity.

The role requires a strong quantitative background with at least 10 years of experience in analytics and statistical analysis. You'll be working with Google's bespoke ML TPU infrastructure, one of Google's fastest-growing infrastructure investments. The team's mission is to deliver common infrastructure as a service for machine learning that is easy to use, efficient, and robust.

As a Staff Data Scientist, you'll be responsible for performing complex analyses using tools like SQL, Python, and R, providing analytical thought leadership, and owning project outcomes from problem definition to implementation. You'll need to develop solutions for ambiguous problems, oversee cross-functional projects, and mentor colleagues in your area of expertise.

Google Cloud serves customers in more than 200 countries, helping organizations accelerate their digital transformation. The role offers an opportunity to work with cutting-edge technology and make a significant impact in the machine learning infrastructure space. The position includes comprehensive benefits, equity, and the chance to work with some of the industry's brightest minds in machine learning and data science.

The ideal candidate will have a Bachelor's or Master's degree in a quantitative field, extensive experience in analytics and coding, and the ability to lead complex projects and teams. This role combines technical expertise with leadership responsibilities, making it perfect for someone looking to make a significant impact in the ML infrastructure space while working for one of the world's leading technology companies.