Sr. Language Data Scientist, Alexa AI

Amazon • Seattle, WA

23h

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed