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Amazon is seeking a Data Specialist to join our data team as a leader and domain expert. This role focuses on expanding analysis and evaluation of speech and interaction data deliverables. The Data Specialist will become an expert in dialog evaluation processes, work closely with a team of skilled analysts, and be a key member in developing new conventions for relevant workflows. In addition, the Data Specialist will be asked to handle unique data analysis requests that support the overall processing of a data collection and analysis team.
The Data Specialist must have a passion for data, efficiency, and accuracy. Specifically, the Data Specialist will:
- Handle unique data analysis requests from a range of data customers, including quantitative and qualitative analyses to elevate customer experience with speech interfaces - Lead and evaluate changing dialog evaluation conventions, test tooling developments, and pilot processes to support expansion to new data areas - Continuously evaluate workflow tools and processes and offer solutions to ensure they are efficient, high quality, and scalable - Provide day-to-day expert support for a large and growing team of data analysts - Provide key support for on-going and new data collection efforts
Bachelor’s or Master’s degree in a related field, such as Linguistics, Computer-Mediated Communication, Language Psychology, etc.
3+ years experience working with data analysis
Experience with language annotation and other forms of data markup
Experience with process design and documentation
Experience communicating research findings and analysis in both written and spoken channels
Experience working with speech and/or language data
Expertise in building ontologies, taxonomies, and semantic relation frameworks
Fluency in one or more major European languages
Proficiency in scripting, querying and/or analytics tools: linux, R, SAS, or similar tool
Practical knowledge of data processing needs and trade-offs
Comfortable handling a high volume of work on a daily basis
Comfortable working in a fast paced, highly collaborative, dynamic work environmen
Willingness to support several projects at one time, and to accept reprioritization as necessary
Strong attention to detail
Exceptional level of organization
Experience taking a lead role on large, fast-moving projects
Strong technical and analytical aptitude
PhD in a relevant field
Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation