Python Job: Data Scientist

About the job

At gTech’s Users and Products team (gUP), our mission is to help users get the most out of Google. We represent Google's users and many of our partners globally, sharing insights with the larger Google organization to enable exceptional customer and product experiences.

gUP builds innovative solutions that take user experience and engagement with Google to the next level, supporting users across products, countries, cultures, incomes, and identities. We advocate for users through partnerships with product areas at Google (and some Alphabet businesses), supporting Google’s consumer products ecosystem and enabling numerous launches for Google’s consumer products each year.

gTech Users and Products (gUP) represents Google's users and their partners (across countries, cultures, incomes, and identities). We share user insights inside Google, and provide services to Product teams. gUP focuses on end-user support for all consumer Google products, including products like Google Play, Gmail, Chrome, Android, and Apps. Our Analytics team answers key business questions, using statistics and data analysis to improve users support outcomes, working with Product, Operations, and Engineering teams.

Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

To learn more about gTech, check out our video.

Responsibilities

• Own an ambiguous business problem or an ill-defined project and take full ownership of the solution. Scope and structure the problem with stakeholders, generate creative ideas, research solutions, and technologies, recommend an appropriate solution, lead and/or perform the implementation, and present results.
• Provide clear planning around requirements, dependencies, and deliverables for multiple projects. Anticipate issues, propose solutions, and know-how to balance the immediate needs of projects with the longer-term goals of the organization.
• Demonstrate subject matter expertise and technical leadership with sufficient depth of knowledge to mentor analysts in data extraction and manipulation, dashboarding/visualization, and analytical/statistical/data mining techniques.
• Identify, collect, and track key business metrics and define metrics for businesses/products while using this competency to influence stakeholders.