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About the role

Overview: In this role you will manage the full data lifecycle, from gathering to deploying insights at scale. You will collaborate with stakeholders to shape analytical roadmaps and translate results into strategic recommendations that influence product development and business strategy. You’ll design statistical models, present KPIs to leadership, and advocate for data quality and scalable infrastructure. This position blends hands-on analysis with cross-functional influence to drive data‑driven decisions at Google Cloud. Compensation / Benefits bonus target equity benefits package hybrid work option career development worldwide impact
Responsibilities: Manage end-to-end data lifecycle including data gathering, extraction, and compilation from multiple sources Design and evaluate statistical models to interpret complex datasets and generate scalable insights Collaborate with stakeholders to define business questions and develop analytical roadmaps Translate analytical findings into actionable insights and strategic recommendations for product and business decisions Present KPIs and analytical results to cross-functional leadership for business reviews Develop deep knowledge of internal data structures and advocate for data quality and processing improvements
Key requirements: Bachelor’s degree in Statistics, Computer Science, Mathematics, or a related field 2 years of experience in data science or related role SQL for data extraction and manipulation Experience with data pipeline creation for data engineering Python or R for statistical analysis and problem-solving Applying statistical methods including t-tests and descriptive statistics Root cause analysis using quantitative methods collaboration problem-solving clear communication SQL Python or R statistical analysis

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JOB OVERVIEW

Experience level

Senior

Location

Brooklyn, NY

Occupation

Data Scientists

Industry

Computer Systems Design Services

Posted

today

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