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Research scientist, amazon music (roma)

Roma
Amazon
Musica
Pubblicato il Pubblicato 6h fa
Descrizione

Research Scientist, Amazon Music - DISCO
Job ID: 10407087 | Amazon.com Services LLC
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.
We are seeking a highly skilled and analytical Research Scientist. You will play an integral part in the measurement and optimization of Amazon Music marketing activities. You will have the opportunity to work with a rich marketing dataset together with the marketing managers. This role will focus on developing and implementing causal models and randomized controlled trials to assess marketing effectiveness and inform strategic decision‑making. This role is suitable for candidates with strong background in causal inference, statistical analysis, and data‑driven problem‑solving, with the ability to translate complex data into actionable insights. As a key member of our team, you will work closely with cross‑functional partners to optimize marketing strategies and drive business growth.
Key Job ResponsibilitiesDevelop Causal ModelsDesign, build, and validate causal models to evaluate the impact of marketing campaigns and initiatives. Leverage advanced statistical methods to identify and quantify causal relationships.

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