Data Scientist, Research, Search Quality Trust (English, Portuguese)

Data Scientist, Research, Search Quality Trust (English, Portuguese)

Please submit your resume in English - we can only consider applications submitted in this language.

Minimum Qualifications:

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
• 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
• Ability to communicate in English and Portuguese fluently to support client relationship management in this region.

Preferred Qualifications:

• 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
• 4 years of experience analyzing data and creating reports with strong statistical, quantitative modeling, and forecasting skills.
• 3 years of experience in an applied research setting.
• Experience in survey research, excellent working knowledge of statistics, and proficiency in one or more statistical software packages (e.g., R, SPSS, Stata, SAS).
• Experience with Python, R, or other scripting languages.

About the Job:

At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing, and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior.

Core Ranking Data Science (DS) is part of the Quality AI and Lens DS team, whose mission is to drive product excellence and user and ecosystem growth for Search with data insights. Our team develops and supports evaluation methodology and metrics used to guide and develop Search Quality models and iteration, as well as the Search product as a whole.

Responsibilities:

• Work with the DS team and Search Quality Engineering and Product teams to enable insights and data-driven decision-making for Search Quality.
• Work with data sets and solve non-routine analytical challenges, applying analytical methods as required. Conduct end-to-end analysis including data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
• Build and prototype analysis pipelines iteratively to provide insights at scale. Develop an understanding of data structures and goals, advocating for changes where needed for product development.
• Interact cross-functionally with a wide variety of teams, and work closely with Engineers to deeply understand product value and pain points for users, and identify opportunities for improving the Search product.
• Research and develop analysis, forecasting, and optimization methods to improve the quality of Google's user-facing products.

Google is 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.