Data Scientist, Alexa AI

Job description

DESCRIPTION

Are you excited and passionate about delivering advanced analytics that directly influence the Alexa user experience? Do you see yourself as a champion of innovating on behalf of the customer by turning data insights into action? Come join Alexa Data Services team as a Data Scientist!

Alexa and Echo are literally shaping the future of voice recognition and cloud-based content/services. Alexa is the name of the Amazon cloud service and the brain that powers Echo. Alexa is the deep learning engine that answers questions, plays music, reads the news and more—instantly. Our goal is to deliver the absolute perfect communication experience to our customers. Alexa Data Services team enables Alexa deep learning by providing Ground-Truth data to the Alexa engine.

This role is part of Alexa Data Services team that is responsible for understanding the business needs and design targeted strategies that support Machine learning teams to discover the right data that will build better models. This role would include partnering with business teams across the Alexa organization for understanding requirements, defining internal programs to accurately define quality measurement metrics, and improve qualify via modeling approaches. We are seeking an organized, action-oriented, and experienced data scientist with a strong track record of taking on end-to-end ownership and delivering on large scale solutions in a fast-paced and dynamic business environment.

Also, you will be a creative problem solver who is obsessed with delivering the best customer experience, as well as, a highly analytical, team-oriented individual with excellent communication skills. You will work with Alexa Machine Learning scientists to identify their business needs and transform them into quality measurement metrics and improvement approaches. You will work with the capacity planning team to keep multiple projects on task, track and achieve operational goals, and plan team activities. You will tailor your communications to specific audiences and communicate clearly and concisely to both business and technical audiences.

Key Responsibilities include:
· Design and build both standard and custom metrics for measure labeling data quality in Voice Enabled Interface (AI) world of Alexa.
· Design and build predictive models to measure data difficulty and ambiguity level and error probability.
· Contribute to the overall product roadmap, and manage prioritization and trade-offs against customer experience, and time to market. Also, create, enhance, and maintain technical documentation, and present to other scientists and business leaders.
· Professional traits that are not unique to this position, but necessary for Amazon leaders: Exhibits excellent judgment, Has relentlessly high standards (is never satisfied with the status quo), Is able to dive deep and is never out of touch with the details of the business or the technology, Is strongly oriented towards results, Thinks big.

PREFERRED QUALIFICATIONS

· Previous experience in a ML or data scientist role with a large technology company
· Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
· Experience in creating data driven visualizations to describe an end-to-end system
· Excellent written and verbal communication skills. The role requires effective communication with colleagues from computer science, operations research and business backgrounds.
· Experience with Amazon Quality operations and/or Standard Work

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority/Female/Disability/Veteran/Gender Identity/Sexual Orientation

**This position is located in either Seattle, WA OR Boston, MA**

Desired profile

BASIC QUALIFICATIONS

· Masters with two years of experience or a Bachelor’s degree in Statistics, Applied Math, Operations Research, Economics, Engineering or a related quantitative field with five years of working experience as a Data Scientist
· Experience with statistical analysis, data modeling, regression modeling, data mining, financial analysis, and demand modeling
· Experience applying various machine learning techniques, and understanding the key parameters that affect their performance
· Experience in Statistical Software such as R, SAS,
· Proficiency with TABLEAU/R or other web based interfaces to create graphic-rich customizable plots, charts data maps, etc.
· Able to write SQL scripts for analysis and reporting (Redshift, SQL, MySQL)
· Experience using one or more Python, R, Java, C++, VBA, and other programming languages
· Experience processing, filtering, and presenting large quantities (100K to Millions of rows) of data