{"schemaVersion":"jobsearcher.job.v1","id":"4df0bc5f2f7a883ee2cb3315","url":"https://jobsearcher.com/jobs/4df0bc5f2f7a883ee2cb3315","canonicalUrl":"https://jobsearcher.com/jobs/4df0bc5f2f7a883ee2cb3315","title":"Data Science Manager, Amazon Music - DISCO","description":"DESCRIPTION\nAmazon 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.\n\nKey job responsibilities\n\nA Data Science Manager serving this role will act as thought partner to L8s of Product and Engineering organizations\nManage team of BIEs and Data Scientists leading strategic growth areas: retention, voice + visual engagement, organization-wide experimentation, Gen AI initiatives for customer sentiment analysis, and product excellence.\nBridge science, analytics, and engineering to deliver solutions informing strategic decisions on AM technology investments and long-term business performance\nLead experimentation program evolution, including culture enhancement, measurement efficiency tooling, and ROI tracking for AM leadership\nBuild and maintain customer segmentation models to understand streaming behaviors and forecast responses to personalization changes\nDevelop structural and predictive models using data science workflows to deliver measurable customer results\n\nA day in the life\n\nManage and develop data scientists specializing in experimentation and customer analytics\nLead strategic relationships across music voice + visual, retention, experimentation, Gen AI, and FPE initiatives\nConduct experimentation and hypothesis testing, build launch measurements, goal benchmarking, and forecasting\nDevelop science models for targeting and create operational reporting with anomaly detection for product health monitoring\nPartner with product managers to translate business questions into actionable science projects\nInfluence product roadmaps through data-driven insights on customer behavior patterns\nProvide hands-on leadership through daily stand-ups and sprint planning\nReview code, data warehouse designs, and oversee ETL pipeline development\nMonitor system performance and data quality metrics\nConduct stakeholder meetings and present insights to senior leadership\nDesign, build, and maintain real-time metrics, reports, analyses, and dashboards with full audit capabilities\nBuild interactive dashboards and reports using Amazon QuickSight\nIdentify and resolve customer experience friction points with cross-functional teams\nEstablish performance metrics and audit mechanisms to track team progress\nDrive adoption of best practices and innovative solutions across the organization\n\nAbout the team\nThe Data, Insights, Science and Optimization, Music Product & Technology (DISCO MPT) team is looking for a Manager Data Science to lead a team of Data Scientists, and Business Intelligence Engineers who analyze big data, provide analytics and insights as well as build models and build critical tools for experimentation. The DISCO MPT team enables the Music Product Technology organization to make data driven decisions that improve customer retention, engagement and experience on Amazon Music. We build and maintain automated self-service data solutions, data science models and deep dive difficult questions that provide actionable insights. We also enable measurement, personalization and experimentation by operating key data programs ranging from attribution pipelines to causal frameworks. In this role, you will set the vision and direction for the team and collaborate with internal stakeholders across marketing, growth, product, science and finance teams to scale and advance our science and analytics offerings.\nBASIC QUALIFICATIONS\n5+ years of building quantitative solutions as a scientist or science manager experience\n2+ years of scientists or machine learning engineers management experience\n5+ years of applying statistical models for large-scale application and building automated analytical systems experience\nPhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field\nKnowledge of Python or R or other scripting language\nPREFERRED QUALIFICATIONS\nExperience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection)\nExperience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems\n\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n\nLos Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\nOur 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.\n\nThe base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.\n\nUSA, CA, San Francisco - 201,300.00 - 272,400.00 USD annually\nUSA, WA, Seattle - 175,100.00 - 236,900.00 USD annually","company":"Amazon.com Services","rawCompany":"amazoncom services","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-14T11:01:23.543Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"11-9121.00","title":"Natural Sciences Managers","slug":"natural-sciences-managers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"516210","title":"Media Streaming Distribution Services, Social Networks, and Other Media Networks and Content Providers","slug":"media-streaming-distribution-services-social-networks-and-other-media-networks-and-content-providers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Science Manager, Amazon Music - DISCO","description":"DESCRIPTION\nAmazon 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.\n\nKey job responsibilities\n\nA Data Science Manager serving this role will act as thought partner to L8s of Product and Engineering organizations\nManage team of BIEs and Data Scientists leading strategic growth areas: retention, voice + visual engagement, organization-wide experimentation, Gen AI initiatives for customer sentiment analysis, and product excellence.\nBridge science, analytics, and engineering to deliver solutions informing strategic decisions on AM technology investments and long-term business performance\nLead experimentation program evolution, including culture enhancement, measurement efficiency tooling, and ROI tracking for AM leadership\nBuild and maintain customer segmentation models to understand streaming behaviors and forecast responses to personalization changes\nDevelop structural and predictive models using data science workflows to deliver measurable customer results\n\nA day in the life\n\nManage and develop data scientists specializing in experimentation and customer analytics\nLead strategic relationships across music voice + visual, retention, experimentation, Gen AI, and FPE initiatives\nConduct experimentation and hypothesis testing, build launch measurements, goal benchmarking, and forecasting\nDevelop science models for targeting and create operational reporting with anomaly detection for product health monitoring\nPartner with product managers to translate business questions into actionable science projects\nInfluence product roadmaps through data-driven insights on customer behavior patterns\nProvide hands-on leadership through daily stand-ups and sprint planning\nReview code, data warehouse designs, and oversee ETL pipeline development\nMonitor system performance and data quality metrics\nConduct stakeholder meetings and present insights to senior leadership\nDesign, build, and maintain real-time metrics, reports, analyses, and dashboards with full audit capabilities\nBuild interactive dashboards and reports using Amazon QuickSight\nIdentify and resolve customer experience friction points with cross-functional teams\nEstablish performance metrics and audit mechanisms to track team progress\nDrive adoption of best practices and innovative solutions across the organization\n\nAbout the team\nThe Data, Insights, Science and Optimization, Music Product & Technology (DISCO MPT) team is looking for a Manager Data Science to lead a team of Data Scientists, and Business Intelligence Engineers who analyze big data, provide analytics and insights as well as build models and build critical tools for experimentation. The DISCO MPT team enables the Music Product Technology organization to make data driven decisions that improve customer retention, engagement and experience on Amazon Music. We build and maintain automated self-service data solutions, data science models and deep dive difficult questions that provide actionable insights. We also enable measurement, personalization and experimentation by operating key data programs ranging from attribution pipelines to causal frameworks. In this role, you will set the vision and direction for the team and collaborate with internal stakeholders across marketing, growth, product, science and finance teams to scale and advance our science and analytics offerings.\nBASIC QUALIFICATIONS\n5+ years of building quantitative solutions as a scientist or science manager experience\n2+ years of scientists or machine learning engineers management experience\n5+ years of applying statistical models for large-scale application and building automated analytical systems experience\nPhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field\nKnowledge of Python or R or other scripting language\nPREFERRED QUALIFICATIONS\nExperience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection)\nExperience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems\n\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n\nLos Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\nOur 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.\n\nThe base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.\n\nUSA, CA, San Francisco - 201,300.00 - 272,400.00 USD annually\nUSA, WA, Seattle - 175,100.00 - 236,900.00 USD annually","datePosted":"2026-04-14T11:01:23.543Z","dateModified":"2026-04-14T11:01:23.543Z","hiringOrganization":{"@type":"Organization","name":"Amazon.com Services","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4df0bc5f2f7a883ee2cb3315"},"url":"https://jobsearcher.com/jobs/4df0bc5f2f7a883ee2cb3315"}}