Business Data Scientist II, Google Data

Google is seeking a Business Data Scientist II to join their Google Data team, focusing on solving complex needs of gTech Strategy and Operations. This role is integral to making Google Ads products more user-friendly through advanced data science solutions.

The position involves pioneering solutions in machine learning, forecasting, and generative AI, with a particular emphasis on large language models (LLMs). You'll be working at the intersection of data science and business, translating complex analytical findings into actionable insights that drive product improvements and operational efficiency.

The ideal candidate will have a strong quantitative background with at least 2 years of experience in analytics and data science, or equivalent PhD research experience. Proficiency in programming languages such as Python, R, and SQL is essential, as is the ability to work with databases and perform statistical analysis.

This role offers an attractive compensation package, with a base salary range of $118,000-$170,000, plus bonus, equity, and comprehensive benefits. Located in Boulder, CO, you'll be part of Google's world-class team working on cutting-edge technology applications.

Key responsibilities include developing data-driven solutions, optimizing support operations, automating case routing, and collaborating with cross-functional partners. You'll lead projects from ideation to implementation, ensuring that complex technical findings are effectively communicated to both technical and non-technical stakeholders.

Google offers a supportive and inclusive work environment, with a strong commitment to diversity and equal opportunity. The role provides an excellent opportunity to work with emerging trends in data science while making a significant impact on Google's advertising products and customer experience.

The position requires a blend of technical expertise, business acumen, and strong communication skills. You'll be at the forefront of applying advanced data science techniques to solve real-world business challenges, making Google's products more effective and user-friendly for customers worldwide.