Minimum qualifications:

• Bachelor's degree in Computer Science, Information Systems, related technical field, or equivalent practical experience.
• 3 years of experience developing/deploying machine learning and time series forecasting models using statistical software (Python, R)
• 3 years of experience applying statistical modeling, hypothesis testing, and experimentation
• 3 years of experience analyzing data, working with SQL and databases

Preferred qualifications:

• MBA, Master's degree, or PhD with a quantitative focus (e.g., Computer Science, Data Science, Mathematics, Economics, Physics, Engineering, Management Information Systems, Statistics, Accounting, or other relevant field)
• Experience in product analytics, customer support, business intelligence, data science, or data warehousing
• Ability to collaborate with internal stakeholders across different functions and geographies to manage change and drive continuous improvement initiatives
• Excellent communication skills and executive presence to influence Google colleagues and manage business priorities

About the job

The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate.

Google Cloud helps millions of employees and organizations empower their employees, serve their customers, and build what’s next for their business — all with technology built in the cloud. Our team is dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life.

As a Data Scientist on the Google Cloud Support team, you’ll play a key role in using data and machine intelligence to empower data-driven execution of strategy and operations for Google customers. You will work collaboratively with Sales, Engineering, and other Cloud Customer Experience teams to build analytics solutions that enable actionable insights to provide an effortless customer experience. In this role, you’ll work on a variety of stakeholder projects with problems that require innovative solutions and data products.

Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Build, optimize, and maintain models to forecast Support case volumes for both long-term planning and near-term scheduling.
• Direct monthly business reviews with executive stakeholders, sharing insights on drivers of change across a dynamic organization.
• Identify business opportunities and drive impact assessment, stakeholder alignment, technical design, and success measurement.
• Coordinate and own data science programs across relevant support areas, including analytical decision making, reporting, predictive analytics, and/or machine learning.