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Data Scientist, Product, Google Play Games

Google

Posted On: 2025-10-14 20:07:26
Openings: 10
Applicants: 0

Job Description

Minimum qualifications:

Bachelor's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
5 years of experience working with statistical packages (e.g., R, SAS, Stata, MATLAB, etc.).
Experience in articulating product questions, pulling data from datasets (e.g., SQL), and using statistics.

Preferred qualifications:

5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL).
Experience working with multiple datasets/data warehouses, with the ability to pull from data sets using tools and coding.
Experience in experimental design (e.g., A/B, multivariate) and incremental analysis.

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.

Responsibilities

Identify and structure business problems, communicate challenges and opportunities.
Act as a thought partner to produce insights and metrics for various technical and business stakeholders.
Deliver effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
Follow engineering best practices to create scalable data pipelines and models.
Engage and influence executive stakeholders and cross-functional partners, obtain buy-in for potential solutions, adapt messaging and suggested recommendations.