Senior Data Scientist, Research, Reliability Analytics

2 weeks ago


London, Greater London, United Kingdom Google Inc. Full time
Senior Data Scientist - Reliability Analytics

Location: London, UK

Requirements:

  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or related quantitative field
  • 5 years of work experience using analytics to solve product or business problems, coding (Python, R, SQL), querying databases, or statistical analysis; or 3 years of work experience with a PhD degree
Preferred qualifications:
  • 8 years of work experience using analytics to solve product or business problems, coding (Python, R, SQL), querying databases, or statistical analysis; or 6 years of work experience with a PhD degree

About the job

At Google, data is at the core of decision-making. Quantitative Analysts play a vital role in shaping Google's strategies by processing, analyzing, and interpreting vast data sets. Using analytical skills and statistical methods, you unearth opportunities for Google and clients to operate more efficiently. This involves tasks ranging from enhancing advertising effectiveness to optimizing network infrastructure to studying user behavior.

As a part of the Reliability Analytics team, you will collaborate with engineering teams to quantify and enhance Google's technical infrastructure reliability. By combining expertise with statistical and machine learning methods, you contribute to improving reliability in ways that impact Google's users and customers.

The Technical Infrastructure team is behind everything users see online, from maintaining data centers to developing the next Google platforms. Through collaborations and innovations, the team ensures users have the best experience possible.

Responsibilities

  • Collaborate with engineering and product teams to enhance reliability tools and products
  • Implement state-of-the-art statistical and machine learning methods for system monitoring and alerting
  • Contribute to team-wide learning and development in reliability objectives
  • Design and build tools, data pipelines, and machine learning systems
  • Influence engineering priorities and roadmaps for reliability improvements

Google values diversity and is an equal opportunity employer, fostering a culture of inclusion and belonging. English proficiency is a requirement for all roles to enable efficient global collaboration.

To all recruitment agencies: Google does not accept agency resumes and is not responsible for any fees related to unsolicited resumes.



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