Data Collection Specialist, V-care

Amazon Amazon · Big Tech · Arlington, VA · Operations, IT, & Support Engineering

This role focuses on data collection, accuracy, and documentation for data processing projects, with a preference for experience in machine learning data processing needs and computer skills. It involves learning quickly, executing procedures, recording data, and suggesting improvements to tools and protocols.

What you'd actually do

  1. learn quickly, execute the collection procedure accurately, record data, and document any needed information associated to data.
  2. contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows.
  3. Experience with computer skills, including proficiency in MS Office (Word, Excel, PowerPoint)
  4. Experience in moderating and conducting data collection, data auditing, or other forms of data markup
  5. Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus

Skills

Required

  • computer skills
  • MS Office (Word, Excel, PowerPoint)
  • data collection
  • data auditing
  • data markup
  • machine learning data processing needs
  • prototype assets
  • research or data collection
  • scripting languages
  • Unix/Linux environment
  • Mac OS
  • Confluence
  • JIRA
  • Wiki tools

Nice to have

  • Bachelor's degree or equivalent
  • behavioral data collection
  • scenario-driven data collection
  • quantitative data analysis
  • consumer electronic device flashing and readiness
  • hardware and software testing
  • Salesforce
  • agile/scrum or related collaborative workflow
  • data collection and evaluation to drive impact
  • providing peer-to-peer feedback
  • supporting quantitative and qualitative consumer research
  • iOS and Android systems

What the JD emphasized

  • machine learning data processing needs