• Amazon
  • $83,686.67 -134,310.00/year*
  • Cambridge , MA
  • Scientific Research
  • Full-Time
  • 101 Auburn St

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

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.
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 engineers to develop efficient data querying infrastructure for both offline and online use cases
Master s degree in a relevant field
5+ 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
PhD in a relevant field
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


Amazon.com is an Equal Opportunity-Affirmative Action Employer Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation


Associated topics: agrosciences, air monitoring, bioassay, biodiversity, conservation, field, food, ocean, water, wetlands

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

Launch your career - Upload your resume now!

Upload your resume

Loading some great jobs for you...