Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. Learn more at https://www.amazon.com/music

The Data, Insights, Science and Optimization, Music Product and Tech (DISCO MPT) team is looking for a Applied Scientist to join a team of scientists and engineers who analyze big data, provide analytics and insights and build models and algorithms to power Music product experiences. In this role, you will set the science vision and direction for the team and collaborate with internal stakeholders across product, science and finance to scale and advance our science offerings. You will lead large scale science solutions, prioritize across multiple stakeholders and projects and be part of a fast-paced, dynamic and fun environment.

Key job responsibilities

Lead the research and development of models and science products powering personalized recommendations
Partner with product leaders at Amazon Music to develop science-driven business strategies
Partner with science, marketing and product teams across Amazon Entertainment and subscription businesses
Educate internal teams on analytics, insights and measurement
Develop models to determine drivers of key performance metrics, and automate the process of deep diving into variances
Collaborate with product and engineering teams to evaluate the impact of new features or algorithms (e.g., the Playlist Song Recommendation experiments)
Analyze the results of experiments and provide recommendations to optimize solutions
Partner with Data Engineers to develop new product based on GenAI technology
Write high quality production code

About the team
The DISCO team focuses on accelerating Amazon Music customer growth by empowering product teams to make sound, customer-centric decisions through data and insights. We build data pipelines, self-service analytics, insights and predictive models enabling acquisition, engagement and retention at scale with personalized customer touchpoints.

BASIC QUALIFICATIONS

PhD, or a Master's degree and experience in CS, CE, ML or related field
Experience in building models for business application
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

PREFERRED QUALIFICATIONS

Experience in solving business problems through machine learning, data mining and statistical algorithms
Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning

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