Data Scientist, Alexa AI

Job ID: 1547383 | Amazon.com Services LLC

DESCRIPTION

Interested in Amazon Alexa? We’re building the speech and language solutions behind Amazon products and services. Come join us!

As a Data Scientist, 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.
You will:
· 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 scientists and engineers to develop efficient data querying infrastructure for both offline and online use cases


BASIC QUALIFICATIONS

· Bachelor's Degree
· 3+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
· 2 years working as a Data Scientist
· Master’s or PhD in a relevant field
· 2+ 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

PREFERRED QUALIFICATIONS


· Advanced degree (PhD) in Linguistics or related field
· Experience with programming language Python
· 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
· Experience with statistical modelling, machine learning, experimental design, hypothesis testing, and A/B Testing
· Comfortable working in a fast paced, highly collaborative, dynamic work environment

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us