Network Reliability and Predictability Analyst

1 Day ago • 5 Years + • Network Engineering

Job Summary

Job Description

The Network Reliability and Predictability Analyst role at Google involves analyzing network parameters and data sets to assess network risk and failure modes. This includes developing machine learning models for capacity and resource optimization, ensuring data integrity, and creating visualizations. Responsibilities also encompass developing future systems and tools for automating cognitive network and risk management, and producing analyses to inform the design, operation, and scaling of Google's global network. The ideal candidate will have a Bachelor's degree (or equivalent experience), 5+ years of program/project management experience, and a background in networking or telecommunications. A Master's degree in a quantitative field is preferred.
Must have:
  • Bachelor's degree or equivalent experience
  • 5+ years program/project management experience
  • Networking or telecommunications background
  • Data analysis and visualization skills
  • Machine learning model development
Good to have:
  • Master's degree in quantitative field
  • Knowledge of Google technologies and infrastructure
  • Excellent project management skills

Job Details


Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience in program or project management.
  • Experience in networking or telecommunications fields.

Preferred qualifications:

  • Master's degree in Statistics, Mathematics, Physics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
  • Excellent project management skills.
  • Knowledge of critical Google technologies and infrastructure, gained from past or current experience.

About the job

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities

  • Analysis of network parameters including related data sets used to assess network risk and failure modes.
  • Development of machine learning models for capacity and other resources. Produce models and analysis that optimally inform the design, operation, and scaling of the global Google Network.
  • Responsible for data integrity, data clean up, data exploration and visualization. 
  • Develop future systems, software and tools that facilitate the automation and development of future cognitive network and risk management.
  • Produce analyses to inform the design, operation, and scaling of the global Google Network.

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About The Company

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

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