Data Scientist

Job description

DESCRIPTION

Alexa for Business is bringing the power of Alexa to work. As part of an exceptional team, you will help define and improve seamless voice interactions to delight customers.

We are seeking a Data Scientist to join our team as a leader and domain expert. This role focuses on expanding analysis and evaluation of speech and interaction data deliverables. You will become an expert in dialog evaluation processes, work closely with a team of skilled analysts, and be a key member in developing new conventions for relevant workflows. You will be asked to handle unique data analysis requests that support the overall processing of a data collection and analysis.

To be successful in this role, you must have a passion for data, efficiency, and accuracy. Specifically, you will
· Own developing and production delivery of new ML models to handle voice first features
· Evaluate ML techniques and technology to ship customer facing features
· Own data analyses for a domain of 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 day-to-day expert support for a large and growing team of data analysts.
· Provide key support for ongoing and new data collection efforts.

Desired profile

BASIC QUALIFICATIONS

· Master’s degree in a related field, such as Data Analytics, Statistics, BI, Linguistics, Computer Linguistics.
· 3+ years experience working with data analysis.
· Understanding of ML techniques and tools including TensorFlow, SageMaker
· Experience with language annotation and other forms of data markup.
· Experience with process design and documentation.
· Experience communicating research findings and analysis in both written and spoken channels.