Data Scientist, Amazon Music - DISCO

Amazon
San Francisco, CA, USA / Seattle, WA, USA2026-04-03ONSITE

About the job

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.

Responsibilities

Data Scientist II on this role will be a thought partner to Product and Engineering organizations through their expertise in experimentation, statistical modeling and advanced analytics

- Conceptualize and drive strategic growth areas: retention, voice + visual engagement, experimentation, Gen AI initiatives, and product excellence.

- Bridge science, analytics, and engineering to deliver solutions informing strategic decisions on AM technology investments and long-term business performance

- Drive experimentation, measurement efficiency tooling, and ROI tracking for AM leadership

- Build and maintain causal models to understand customer sentiment and its impact on key engagement/retention metrics

- Develop structural and predictive models using data science workflows to deliver measurable customer results

Qualifications

Minimum

Bachelor's degree

2+ years of data scientist experience

3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience

3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience

Experience applying theoretical models in an applied environment

Preferred

Knowledge of machine learning concepts and their application to reasoning and problem-solving

Experience in Python, Perl, or another scripting language

Experience in defining and creating benchmarks for assessing GenAI model performance

Experience applying quantitative analysis to solve business problems and making data-driven business decisions