Description
Amazon is seeking a Language Data Scientist to join the Alexa Artificial Intelligence (AI) team as domain expert. This role focuses on expanding analysis and evaluation of speech and interaction data deliverables. The Language Data Scientist is an expert in dialog evaluation processes, working closely with a team of skilled analysts and machine learning scientists and engineers, and is a key member in developing new conventions for relevant annotation workflows. The Language Data Scientist will be asked to handle unique data analysis and research requests that support the training and evaluation of machine learning models and the overall processing of a data collection.
Key job responsibilities
To be successful in this role, you must have a passion for data, efficiency, and accuracy. Specifically, you will:
Own data analyses for customer-facing features, including launch go/no-go metrics for new features and accuracy metrics for existing features
Handle unique data analysis requests from a range of stakeholders, 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 expert support for a large and growing team of data analysts
Provide support for ongoing and new data collection efforts as a subject matter expert on conventions and use of the data
Conduct research studies to understand speech and customer-Alexa interactions
Assist scientists, program and product managers, and other stakeholders in defining and validating customer experience metrics
Basic Qualifications
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
Experience with statistical models e.g. multinomial logistic regression
Preferred Qualifications
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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .
USA, WA, Seattle - 159,200.00 - 215,300.00 USD annually
