Manager, Data Science, Amazon Music

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Job summary

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.

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
• 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