Overview

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.

Key job responsibilities
Lead and provide coaching to a team of Data Scientists, Business Intelligence Engineers and Data Engineers
Partner withProduct, Engineering and ML leaders to develop data-driven business strategy
Deliver insights and recommendations to help shape strategy across Amazon Music consumer product and technology organization
Lead research and development of models and science products powering product design and product roadmap
Scale self-service analytics and insights offering
Partner with science, marketing and product teams across Amazon entertainment and subscription businesses
Educate and evangelize across internal teams on analytics, insights and measurement by writing whitepapers and knowledge documentation and delivering learning sessions.
About The Team

If you love building core intelligence, insights and algorithms that impact millions of customers worldwide then this is a job for you.

We are seeking a Data Science Manager to join the Data Insights SCience and Optimization (DISCO) team within Amazon Music.

Company:

Amazon

Qualifications:

Basic Qualifications
Masters in Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent experience
5+ years experience extracting and transforming data using SQL and/or scripting languages (e.g., Python)
5+ years experience building statistical models and conducting analyses using tools such as R, Python, STATA, or a related software
Proven experience continuously learning and applying data science knowledge across topics such as causal inference, forecasting, machine learning, and large-scale scientific / distributed computing
Strong verbal and written communication skills to communicate relevant scientific insights to technical and non-technical audiences
Strong ability to earn trust with multiple groups of stakeholders both technical and non-technical
Experience leading scientists/engineers as well as a successful record of developing junior team members
Ability to adapt in a fast-paced working environment

Preferred Qualifications

PhD in Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent
Strong background in causal inference and/or time series forecasting applications
Proven track record of building and managing a high-performing science team including hiring, coaching, and career development
Experience working in science leadership role in subscription / consumer product industry
Experience with data visualization software such as Tableau, Amazon Quicksight
Experience implementing machine-learning methods for business applications (e.g., boosted regression trees, random forests, neural networks)
Experience with AWS technologies like EC2, Redshift, S3, Sagemaker

Educational level:

Master Degree

Level of experience (years):

Senior (5+ years of experience)

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