Sr. Data Scientist, Field Engineering

Amazon

Seattle, WA, US
On-site
Advanced statistical and machine learning techniques
Scalable model development and deployment
Cross-functional collaboration with engineering teams
The role involves developing scalable models to measure and predict data center fleet performance including availability, efficiency, and reliability KPIs across the global AWS infrastructure portfolio

Job Summary

  • The role involves developing scalable models to measure and predict data center fleet performance including availability, efficiency, and reliability KPIs across the global AWS infrastructure portfolio.
  • Candidates must be exceptionally strong communicators capable of translating complex quantitative findings into clear recommendations for senior engineering and business leadership.
  • AWS values diverse experiences and work-life harmony, offering mentorship and career growth resources to help professionals develop into better-rounded experts.

Matching Summary

The role involves developing scalable models to measure and predict data center fleet performance including availability, efficiency, and reliability KPIs across the global AWS infrastructure portfolio.

Skills & Requirements

Must-have

  • Advanced statistical and machine learning techniques
  • Scalable model development and deployment
  • Cross-functional collaboration with engineering teams
  • Root cause analysis of complex operational failures
  • Translating quantitative findings into executive recommendations

Nice-to-have

  • Experience in ambiguous fast-moving environments
  • Strong written and verbal communication skills
  • Ability to balance technical rigor with delivery speed
  • Knowledge of data center mechanical and electrical systems
  • Inclusive culture and diverse team experience

Key Requirements

  • Senior level data science experience
  • Proficiency in large-scale operational datasets
  • Experience with end-to-end data science workflows

Work Rights

Not specified

Tailored Resume

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