Amazon Data Services, Inc.
Technology
Sr.DataScientist,FieldEngineering
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“Sr. Data Scientist, Field Engineering at Amazon Data Services, Inc.. Skills: Data Science, Machine Learning, Infrastructure Analytics, Fleet Performance Modeling. Develop scalable models. Maintain analytical frameworks”
What You'll Achieve.
Improve fleet performance; Improve availability; Improve efficiency; Improve reliability; Drive measurable impact
Industry & Context.
Problem-solving skills; Root cause analysis; Troubleshooting
What They're Looking For.
Must Have
5+ years experience, Bachelor's degree, SQL proficiency, AWS tech stack knowledge
Nice to Have
PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified
What You'll Do.
Develop scalable models
Maintain analytical frameworks
Measure fleet performance
Predict fleet performance
Apply statistical techniques
Apply machine learning techniques
Extract actionable insights
Identify high-impact opportunities
Formulate quantitative problems
Design data science workflows
Implement data science workflows
Enable repeatable analysis
Enable scalable analysis
Formalize system assumptions
Develop methods for deviations
Identify improvement opportunities
Build self-service datasets
Build reporting mechanisms
Provide recommendations
Articulate decision points
Collaborate with applied science teams
Collaborate with software engineering teams
Collaborate with data engineering teams
Ensure model integration
How You'll Work.
Team & Collaboration
Cross-functional teams; Field Engineers; Operations teams; Commissioning teams; Construction teams; Engineering teams; Program managers; Applied science teams; Software engineering teams; Data engineering teams
Communication Scope
Written communication; Verbal communication; Translating findings; Executive presentations; Data-driven recommendations
Process & Methodology
Roadmap planning
Full Job Description
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. The Data Center Field Engineering Team is the engineering owner for the lifecycle of AWS data center mechanical and electrical infrastructure. This includes supporting new designs and innovations through data center end-of-life, with a focus on root cause analysis of failures, capacity and availability improvement, and optimization of the existing fleet. As a Senior Data Scientist on the Field Engineering Portfolio team, you will bring advanced analytical and machine learning capabilities to one of the most critical infrastructure organizations at AWS. You will develop scalable models and data-driven frameworks that measure, predict, and improve fleet performance — including data center availability, operational efficiency, and key performance indicators (KPIs) across the global AWS data center fleet. You are an exceptionally strong communicator, both written and verbally, capable of translating complex quantitative findings into clear recommendations for senior engineering and business leadership.
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