OverviewAmazon 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 the intersections of music and culture.We offer experiences across tiers: Prime members access all music in shuffle mode and top ad-free podcasts; 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 general scale.The Data, Insights, Science and Optimization, Music Product and Tech (DISCO M&G;) team is looking for a Data 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 marketing tech, 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 responsibilitiesLead the research and development of models and science products powering customer identity, acquisition, and retention strategies for Amazon MusicPartner with Marketing and Growth leadership to develop science-driven business strategies, including subscriber segmentation, lifecycle management, and upsell programsBuild predictive models — including propensity, uplift,



and causal inference models — to support targeted marketing initiatives, measure incremental impact, and automate deep dives into key metric variancesCollaborate with product, engineering, and marketing teams to evaluate the impact of growth campaigns, features, and algorithmic interventions through rigorous experimentationAnalyze experiment results and provide data-driven recommendations to optimize subscriber acquisition and retention outcomesPartner with Senior Data Scientists and Product Managers to define, propose, and validate success and guardrail metrics for identity and growth programsEducate marketing and growth teams on analytics, measurement frameworks, and experimentation best practices, encouraging a culture of evidence-based decision makingAbout the teamThe 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 touch points.Basic Qualifications2+ years of data scientist experience3+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.)3+ years of experience with machine learning/statistical modeling, data analysis tools and techniques,



and parameters that affect their performance1+ years of experience working with or evaluating AI systemsMaster's degree in Science, Technology, Engineering, or Mathematics (STEM), or equivalent experienceExperience applying theoretical models in an applied environmentPreferred QualificationsPh.D.
in Science, Technology, Engineering, or Mathematics (STEM)Knowledge of machine learning concepts and their application to reasoning and problem-solvingExperience in Python, Perl, or another scripting languageExperience in a ML or data scientist role with a large technology companyExperience in defining and creating benchmarks for assessing GenAI model performanceExperience working on multi-team, cross-disciplinary projectsExperience applying quantitative analysis to solve business problems and making data-driven business decisionsExperience effectively communicating complex concepts through written and verbal communicationOur inclusive culture empowers Amazonians to deliver the best results for our customers.If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit amazon.jobs accommodations for more information.If the country/region you're applying in isn't listed, please contact your Recruiting Partner.Posted:July 17, **** (Updated 1 day ago)Posted:July 10, **** (Updated 8 days ago)Posted:June 3, **** (Updated 9 days ago)Posted:July 3, **** (Updated 10 days ago)Posted:June 23, **** (Updated 11 days ago)Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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📌 Data Scientist , Amazon Music - Disco (Xico)
🏢 Amazon
📍 Xico