Data Scientist II, Product, Google Shoppingcorporate_fare Google place Mountain View, CA, USA
Minimum Qualifications:Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.1 year of experience with statistical data analysis, data mining, and querying (e.g., SQL).Preferred Qualifications:Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.3 years of work experience with analysis applications (performing statistical analysis or solving business problems) and coding (Python, R, SQL).About the JobHelp 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 and make critical recommendations for your fellow Googlers in Engineering and Product Management.
ResponsibilitiesPerform analysis utilizing relevant tools (e.g.
SQL, R, Python).
Apply standard/common tools, resources, and processes to define problems for projects and execute tasks with guidance.Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python).
Format, re-structure, and validate data to ensure quality.Leverage a foundational understanding of broader business priorities and techniques.Select appropriate approaches from clear options to address technical challenges.Develop working relationships outside of the team to contribute to cross-project collaborations and better understand data or products.Google is proud to be an equal opportunity and affirmative action employer.
We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.
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