Returning Candidate?

Data Scientist - Alexa Language Technologies

Data Scientist - Alexa Language Technologies

Job ID 
US-CA-East Palo Alto
Posted Date 
A2Z Development Center, Inc.
Recruiting Team 

Job Description

Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV, and Amazon Echo. What will you help us create?

The Role:

We’re looking for a passionate, talented, and inventive Data Scientist to help build industry-leading intelligent Alexa-enabled products that customers love. Our mission is to leverage Data Science, in order to reduce users’ cognitive load, reduce friction in their day-to-day activities and ultimately, inspire our customers by enabling serendipitous discovery of experience. You will be responsible for data-driven improvements to our spoken language understanding models. You will be working with a unique and gifted team of engineers and scientists engaged in a fast-paced mission to conceive and deliver new products.

Key Responsibilities
- Apply Statistical and Machine Learning methods to specific business problems and data
- 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.
- Design, develop, evaluate, and release highly innovative models elevate the customer experience and track impact over time
- Collaborate with colleagues from multidisciplinary science, engineering and business backgrounds.
- Work with engineers to develop efficient data querying and modeling infrastructure for both offline and online use cases
- Manage your own process: identify and execute on high impact projects, triage external requests, and make sure you bring projects to conclusion in time for the results to be useful
- Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions

Basic Qualifications

- Bachelor's degree in Math, Finance, Statistics, Engineering or related discipline
- Experience with Python, R, or other statistics/machine learning packages
- 3+ years experience as a business analyst, data scientist or similar job function
- 1+ years of relevant experience building statistical models and machine learning.
- Experience developing experimental and analytic plans for data modeling processes
- Experience using baselines to accurately determine cause and effect relations

Preferred Qualifications

- Advanced degree in Math, Statistics, Engineering, Computer Science or related discipline
- Demonstrated ability to frame complex analytical problems and extract insights that led to tangible business results
- High-level knowledge of various machine learning techniques and key parameters that affect their performance
- Fluency in a foreign language
- The motivation to achieve results in a fast-paced environment.
- Strong attention to detail
- Exceptional level of organization
- Ability to think creatively and solve problems is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation