BASIC QUALIFICATIONS
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 2+ years of data scientist experience
- Bachelor's degree
- Experience applying theoretical models in an applied environment
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
We are open to hiring candidates to work out of one of the following locations:
Boston, MA, USA | Seattle, WA, USA
PREFERRED QUALIFICATIONS
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $111,600/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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