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Remote Amazon Data Science Jobs in Clinton, TN (NOW HIRING)

Infrastructure Platform Engineer

Oak Ridge, TN · On-site +1

$102K - $134K/yr

On-site or Hybrid preferred (Oak Ridge, TN), but will consider remote Overview: The High ... This group provides state-of-the-art computational and data science infrastructure coupled with ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

Senior I&C Engineer Energy - Remote

Oak Ridge, TN · On-site +1

$99K - $137K/yr

... data sheets, I/O list, etc., together with the supporting analysis/assessment documents and other ... About you * BS or MS degree in Chemical, Electrical, or Mechanical Engineering, or other science ...

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Remote Amazon Data Science information

What is the difference between Remote Amazon Data Science vs Remote Amazon Data Analyst?

AspectRemote Amazon Data ScienceRemote Amazon Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/R; experience with machine learningBachelor's in Data Analysis, Business, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, cross-functional projects, remote data science platformsRemote reporting, data interpretation, and visualization tasks within Amazon teams
Employer & Industry UsageAmazon's data science teams focusing on predictive modeling, ML, and AIAmazon's data analysis teams focusing on reporting, dashboards, and business insights

Remote Amazon Data Science involves developing machine learning models and advanced analytics, requiring programming and statistical skills. In contrast, Remote Amazon Data Analyst roles focus on interpreting data, creating reports, and supporting decision-making with less emphasis on coding. Both roles are integral to Amazon's data-driven strategies but differ in technical complexity and daily tasks.

What job categories do people searching Remote Amazon Data Science jobs in Clinton, TN look for?

The top searched job categories for Remote Amazon Data Science jobs in Clinton, TN are:

What cities near Clinton, TN are hiring for Remote Amazon Data Science jobs?

Cities near Clinton, TN with the most Remote Amazon Data Science job openings:

Infrastructure Platform Engineer

ITR

Oak Ridge, TN • On-site, Remote

$102K - $134K/yr

Full-time

Posted 16 days ago


Job description

  • Must be eligible for a federal security clearance (U.S. citizen)
  • On-site or Hybrid preferred (Oak Ridge, TN), but will consider remote 

Overview:  
The High-Performance Computing Systems Section within a large Research and Development Facility with the Department of Energy is seeking an HPC Infrastructure Platform Engineer to join the HPC Infrastructure group.  The preferred candidate will possess commensurate knowledge, skills, and abilities in addition to relevant education, certifications, experience, and demonstrated ability to work as a member of a team.
 
This group provides state-of-the-art computational and data science infrastructure coupled with dedicated technical and scientific professionals tackling large-scale problems across a broad range of scientific domains for accelerating scientific discovery and engineering advances. This group hosts the Oak Ridge Leadership Computing Facility (OLCF), one of the Department of Energy’s (DOE) National User Facilities, which operates Frontier, the nation’s first exascale supercomputer.  
 
Major Duties/Responsibilities:
 
Linux Administration:
  • Deploy, configure, and manage HPC-scale services in a Linux environment, primarily Red Hat and Rocky
  • Perform regular patching, updates, and backups
  • Monitor systems using tools like Nagios and Grafana
  • Respond to and assist in troubleshooting issues
Kubernetes Administration and Automation:
  • Build and maintain foundational internal platforms and tools to enable the HPC Infrastructure team to reliably deploy, monitor, and scale applications
  • Design standardized and automated workflow patterns, build and maintain CI/CD pipelines
  • Offer self-service, excellent documentation, and assistance to HPC Infrastructure group members for efficient consumption of platform services
  • Develop, maintain, and review high-quality code for internal tools using programming languages such as Python, Golang, or Rust
  • Define policies and procedures for automation and configuration management for the team and organization as a whole
Project Management and Leadership:
  • Lead small Infrastructure projects through the project lifecycle
  • Mentor and train junior staff, creating training documentation, holding knowledge sharing sessions, and fostering skill growth throughout the team
  • Propose and implement improvements to existing Infrastructure systems as well as new systems, processes, and procedures
  
Basic Qualifications:
  • Bachelor’s degree in computer science or closely related field and a minimum of 5 years of experience in Linux systems and Kubernetes platform administration, or a master’s degree and a minimum of 4 years of experience in Linux systems and Kubernetes platform administration
  • An equivalent combination of education and experience will be considered
 
Preferred Qualifications:
  • Excellent interpersonal/communication skills and the ability to work within a team
  • Strong experience designing, building, and maintaining Kubernetes platform tools
  • Strong working knowledge of Linux system fundamentals and common network protocols
  • Programming and scripting skills in common languages such as Python and bash
  • Understanding of versioning and code review tools like GitHub and GitLab
  • Experience implementing and supporting highly-available systems and services
  • Experience with configuration management tools such as Puppet or Ansible
  • Experience deploying and maintaining virtual environments using VMware
  • Experience deploying, maintaining, and troubleshooting a variety of infrastructure services such as OpenLDAP, DNS, DHCP, etc.
  • Ability to plan, prioritize, and complete assigned projects with minimal supervision