Data Scientist, Research, Storage Analytics

$150,000 - $223,000/Yr

Google - New York, NY

Full-time - Mid Level

New York, NY

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About the position

The Data Scientist position at Google focuses on Storage Analytics, aiming to optimize resource use in response to evolving user demands and hardware capabilities. The role involves collaboration with engineering teams and stakeholders to provide strategic insights, develop probabilistic models, and ensure data quality for effective analysis.

Responsibilities

• Work with Engineering teams and other Data Scientists to provide strategic insights and direction.
• Build probabilistic models of the systems and compare those models with production to identify opportunities.
• Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions.
• Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
• Design and evaluate models to mathematically express and solve defined problems with limited precedent.
• Gather information, business goals, priorities, and organizational context, as well as the existing and upcoming data infrastructure.
• Own the process of gathering, extracting, and compiling data across sources via tools (e.g., SQL, R, Python).
• Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.

Requirements

• Master's degree in Statistics, Economics, Engineering, Mathematics, or a related quantitative field, or equivalent practical experience.
• 5 years of experience with statistical data analysis, data mining, and querying (e.g., SQL).
• 3 years of experience managing analytical projects.

Nice-to-haves

• 5 years of experience in scripting, statistical analysis (e.g., R, Stata, SPSS, SAS), developing and managing metrics, and evaluating programs/products.
• 3 years of experience working in a changing organization.
• 1 year of experience preparing and delivering technical presentations to executive leadership.

Benefits

• Health insurance
• 401(k) plan
• Paid holidays
• Flexible scheduling
• Professional development opportunities