Amazon Language Data Scientist III AWS Q Business 

United States, California 

154105584

Key job responsibilities
Manage and process large amounts of structured and unstructured data.
Design and develop data annotation guidelines and workflows.
Adopt and design quality metrics and methodology to evaluate the quality of data.
Handle annotation & data investigation requests from multiple stakeholders with high efficiency and quality in a fast-paced environment.Automate repetitive workflows and improve existing processesUtility Computing (UC)Work/Life Balance
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 4+ years of data scientist experience
- Excellent knowledge of semantics, pragmatics, conversation analysis, and/or discourse analysis
- Experience designing and executing data collection projects, including guidelines, labelset and annotation workflow development
- Experience developing and evaluating data annotation and data quality metrics

- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team