Job Description

###

Minimum qualifications:

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL), or 2 years of experience with a Master's degree.


###

Preferred qualifications:

Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 5 years of experience working in a complex, matrixed organization. 5 years of experience preparing and delivering technical presentations to executive leadership. 3 years of experience in mobile advertising analytics.

About the job

-----------------


Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

Responsibilities

--------------------

Work across Games Spend and business generation, Developer Success, and Games Ecosystem to further our understanding of the Games business at Play. Partner with Games Data Science and Product Strategy team members, Play Games Product Management (PM), Engineering (Eng), Product Marketing Management (PMM), User Experience (UX) and other teams to understand user behavior, design/analyze experiments and drive product insights to improve user experiences. Deliver effective presentations of findings and recommendations to multiple levels of leadership, shaping Play's investment in Games. Develop a comprehensive understanding of the gaming industry. Perform statistical analyses in R/Python, data extraction using SQL, and build pipelines and dashboards using Plx tools. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.