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Applied Scientist II, Music Growth

Job ID: 1826958 | Amazon Dev Centre Canada ULC

DESCRIPTION

Job summary
About Amazon Music
Amazon Music reimagines music listening by enabling customers to unlock millions of songs and thousands of curated playlists and stations with their voice. Amazon Music provides unlimited access to new releases and classic hits across iOS and Android mobile devices, PC, Mac, Echo, and Alexa-enabled devices including Fire TV and more. With Amazon Music, Prime members have access to ad-free listening of 2 million songs at no additional cost to their membership. Listeners can also enjoy the premium subscription service, Amazon Music Unlimited, which provides access to more than 75 million songs and the latest new releases. Amazon Music Unlimited customers also now have access to the highest-quality listening experience available, with more than 75 million songs available in High Definition (HD), more than 7 million songs in Ultra HD, and a growing catalog of spatial audio. Customers also have free access to an ad-supported selection of top playlists and stations on Amazon Music. All Amazon Music tiers now offer a wide selection of podcasts at no additional cost, and live streaming in partnership with Twitch. Engaging with music and culture has never been more natural, simple, and fun. For more information, visit amazonmusic.com or download the Amazon Music app.

The Music Growth team is focused on building a personalized, curated, and seamless music experience. We want to help our customers discover up-and-coming artists, while also having access to their favorite established musicians. We build systems that are distributed on a large scale, spanning our music apps, web player, and voice-forward audio engagement on mobile and Amazon Echo devices, powered by Alexa to support our customer base. Amazon Music offerings are available in countries around the world, and our applications support our mission of delivering music to customers in new and exciting ways that enhance their day-to-day lives.

This role can be based in Toronto, Vancouver, New York, San Francisco, Seattle, Austin, Los Angeles or Atlanta.

Key job responsibilities
The newly formed Customer Intelligence team's mission is to understand our customers intimately and identify their needs before they can identify it themselves. As the founding member of Customer Intelligece team, you will leverage your strong background in Computer Science and Machine Learning to help build the next generation of customer segments and propensity models. You will work closely with scientists, engineers, and stakeholders to build end-to-end ML solutions that have immediate impacts on Amazon and its customers. Your major responsibilities will include:

• Identify trends in customer behavior using analytical and Data Science techniques

• Develop NLP and deep learning models to extract insights from customer experiences and feedback

• Use expertise to provide recommended architecture, scope, costs, and metrics to scale and automate Music Growth initiatives to a global audience

• Design experiments and solutions for complex problem areas and business initiatives, and establish automated reporting using AWS technologies and Business Intelligence tools

BASIC QUALIFICATIONS

· PhD or equivalent Master's Degree plus 4+ years of experience in CS, CE, ML or related field
· 2+ years of experience of building machine learning models for business application
· Experience programming in Java, C++, Python or related language

PREFERRED QUALIFICATIONS

· Prior Experience as a Growth Applied Scientist
· PhD in Computer Science, Statistics, Applied Math, Operations Research, Economics, or a related quantitative field
· Extensive knowledge and practical experience in statistics, machine learning, or deep learning
· Significant peer reviewed scientific contributions in relevant field
· Extensive experience applying theoretical models in an applied environment

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.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records

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. Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.


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, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.