Data Science Manager, Amazon Music DISCO

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.


Key job responsibilities
* A Data Science Manager serving this role will act as thought partner to L8s of Product and Engineering organizations
* Manage 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.
* Bridge science analytics and engineering to deliver solutions informing strategic decisions on AM technology investments and long-term business performance
* Lead experimentation program evolution including culture enhancement measurement efficiency tooling and ROI tracking for AM leadership
* Build and maintain customer segmentation models to understand streaming behaviors and forecast responses to personalization changes
* Develop structural and predictive models using data science workflows to deliver measurable customer results

A day in the life
* Manage and develop data scientists specializing in experimentation and customer analytics
* Lead strategic relationships across music voice visual retention experimentation Gen AI and FPE initiatives
* Conduct experimentation and hypothesis testing build launch measurements goal benchmarking and forecasting
* Develop science models for targeting and create operational reporting with anomaly detection for product health monitoring
* Partner with product managers to translate business questions into actionable science projects
* Influence product roadmaps through data-driven insights on customer behavior patterns
* Provide hands-on leadership through daily stand-ups and sprint planning
* Review code data warehouse designs and oversee ETL pipeline development
* Monitor system performance and data quality metrics
* Conduct stakeholder meetings and present insights to senior leadership
* Design build and maintain real-time metrics reports analyses and dashboards with full audit capabilities
* Build interactive dashboards and reports using Amazon QuickSight
* Identify and resolve customer experience friction points with cross-functional teams
* Establish performance metrics and audit mechanisms to track team progress
* Drive adoption of best practices and innovative solutions across the organization

About the team
The 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 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.

- 5 years of building quantitative solutions as a scientist or science manager experience
- 2 years of scientists or machine learning engineers management experience
- 5 years of applying statistical models for large-scale application and building automated analytical systems experience
- PhD in computer science mathematics statistics machine learning or equivalent quantitative field
- Knowledge of Python or R or other scripting language

- Experience in a least one area of Machine Learning (NLP Regression Classification Clustering or Anomaly Detection)
- Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Los 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 Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Our 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $142300/year in our lowest geographic market up to $272400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.