Senior Data Scientist, Research, Storage Analytics

2 Weeks ago • 3-5 Years • Data Analyst • $166,000 PA - $244,000 PA

Job Summary

Job Description

The Senior Data Scientist, Research, Storage Analytics will work within Google's Storage Analytics team, focusing on measuring, analyzing, and optimizing the cost, reliability, and performance of Google's storage infrastructure. Responsibilities include collaborating with engineering partners to implement optimizations, conducting complex data analysis on large datasets, building probabilistic models of systems, identifying opportunities for improvement, and communicating findings effectively. The role involves working with defined metrics, insightful statistics, and explanatory models to understand system performance, characterize inefficiencies and anomalies, and propose solutions. This also includes engaging in research with academic institutions and vendors to provide strategic guidance.
Must have:
  • Master's degree in quantitative field
  • 5 years experience (or 3 with PhD)
  • Proficient in Python, R, SQL
  • Experience with large datasets
  • Statistical modeling & analysis
Good to have:
  • PhD in quantitative discipline
  • Experience with optimization
  • Experience articulating business questions
  • Experience working with large datasets
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details


Minimum qualifications:

  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  • 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 3 years of work experience with a PhD degree.

Preferred qualifications:

  • PhD degree in a quantitative discipline.
  • Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data.
  • Experience working with large data sets.
  • Experience with optimization.
  • Ability to select the right statistical tools given a data analysis problem.

About the job

The mission for Storage Analytics is to measure, analyze, and optimize the cost, reliability, and performance of the Google Storage stack. The Storage Analytics team implements their mission statement though the following broad efforts: building a deep understanding of Google’s Infrastructure Storage System and how its components perform optimally using defined metrics, insightful statistics, and explanatory models. Characterizing inefficient behaviors and irregular anomalies and identifying the causes of such behaviors. Proposing for deployment efficiency improvements to the design architecture, system monitoring, resource provisioning, and production operations policies. Engaging in research with leading academic institutions and industrial vendors and thus providing strategic problem solving guidance to storage engineering functions.

The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

Responsibilities

  • Work with Engineering partners, and within the Analytics team, and strategic and tactical optimizations to the storage systems.
  • Work with complex data sets, and perform non-standard analysis.
  • Build probabilistic models of our systems, compare those models with production to identify opportunities and communicate understanding.

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