Principal Data Scientist, Google Search

• Build a strong measurement framework for broadly defined problems so we can “hill-climb” by orienting our efforts in the correct direction.
• Identify and prioritize the most important levers to add user value across a variety of surfaces and things we could build.
• Establish standards for depth of understanding and accuracy for the Search Data Science organization.
• Build operating pictures for important cross-cutting areas (such as what a successful AI experience looks like), and align the organization around the ensuing clarity and expertise.

Minimum qualifications:

• Bachelor’s degree in Data Science, or similar technical field of study, or equivalent practical experience.
• 15 years of experience in data science or other quantitative fields such as: statistics, machine learning, software engineering, or ML engineering.
• Experience in using data insights to drive product and engineering excellence.

Preferred qualifications:

• Master's degree or PhD in Data Science, Statistics, or equivalent.
• Experience building 0 to 1 products as well as working on established products.
• Strong leader able to produce great outcomes through influence rather than authority.
• Innovative problem solver who turns ambiguity into clear solutions, and comfortable with AI technology and out-of-the-box thinking.

• Bachelor’s degree in Data Science, or similar technical field of study, or equivalent practical experience.
• 15 years of experience in data science or other quantitative fields such as: statistics, machine learning, software engineering, or ML engineering.
• Experience in using data insights to drive product and engineering excellence.