Get roles like this, scored and matched, in your inbox.
Sign up free →Job Opening
Data Scientist , Music DISCO
Amazon · San Francisco, CA · Posted 7 days ago
Shape how Amazon Music's visual and voice experiences drive fan retention by building causal models and leading experiments on strategic product bets like Gen AI.
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.
The Data, Insights, Science and Optimization, Consumer Product and Tech (DISCO CPT) team is looking for a Data Scientist to join a team of Data Scientists, Analytics Leads, Business Intelligence Engineers and Data Engineers who analyze big data, provide analytics and insights as well as build models and algorithms that power product for personalized experiences. The 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, science models, self-service analytics, insights and dashboards, deliver engagement and retention at scale. In this role, you will pioneer and execute advanced analytics and experimentation efforts for the Amazon Music product team. You will work with stakeholders and partners to deliver experimentation insights, author scientific artifacts, build scalable models to advance our analytics and science products. The ideal candidate must be willing to effectively lead science solutions, prioritize across multiple stakeholders and projects and be ready to jump into a fast-paced, dynamic and fun environment.
…
This posting is sourced from Amazon's own career site — applying takes you there directly.
Get roles like this, scored and matched, in your inbox.
Sign up free →Related roles
This role is one of 36 Data Scientist openings in San Francisco, CA and centers on SQL, Python, R, and Sas. There are 17,473 open roles at Amazon right now.
Want roles like this found for you?
Set your Focus once. Career Engine screens every new opening every week.
A scored, explained shortlist — not a keyword match — delivered weekly. Free for one profile.