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As a Data Scientist in our Applied Modeling team, you will be responsible for data-driven improvements to our spoken language understanding models. Your work will directly impact our customers in the form of products and services that make use of speech and language technology.
· Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.
· Clean, analyze and select data to achieve goals
· Build and release models that elevate the customer experience and track impact over time
· Collaborate with colleagues from science, engineering and business backgrounds.
· Present proposals and results in a clear manner backed by data and coupled with actionable conclusions
· Work with engineers to develop efficient data querying infrastructure for both offline and online use cases
· Master’s or PhD in a relevant field
· 5-7 years experience with various data analysis and visualization tools
· Experience in Perl, Python, or another scripting language; command line usage
· Experience with various machine learning techniques and parameters that affect their performance
· Track record of diving into data to discover hidden patterns and of conducting error/deviation analysis
· Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
· Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
· The motivation to achieve results in a fast-paced environment.
· Experience with statistical modelling / machine learning
· Strong attention to detail
· Exceptional level of organization
· Comfortable working in a fast paced, highly collaborative, dynamic work environment
· Ability to think creatively and solve problems
· Fluency in a foreign language
Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation