Data Scientist, 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 live streams and artist merch, Amazon Music innovates at some of the most exciting intersections of music and culture. 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, 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.

• Lead the research and development of models and science products powering customer identity, acquisition, and retention strategies for Amazon Music.
• Partner with Marketing and Growth leadership to develop science-driven business strategies, including subscriber segmentation, lifecycle management, and upsell programs.
• Build predictive models—including propensity, uplift, and causal inference models—to support targeted marketing initiatives, measure incremental impact, and automate deep dives into key metric variances.
• Collaborate with product, engineering, and marketing teams to evaluate the impact of growth campaigns, features, and algorithmic interventions through rigorous experimentation.
• Analyze experiment results and provide data-driven recommendations to optimize subscriber acquisition and retention outcomes.
• Partner with Senior Data Scientists and Product Managers to define, propose, and validate success and guardrail metrics for identity and growth programs.
• Educate marketing and growth teams on analytics, measurement frameworks, and experimentation best practices, encouraging a culture of evidence-based decision making.

About the team:
The 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 touchpoints.

• 2+ years of data scientist experience.
• 3+ 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 or statistical modeling data analysis tools and techniques, and an understanding of how performance-affecting parameters influence models.
• 1+ year of guiding, coaching a group of researchers.
• 1+ year of working with or evaluating AI systems.
• 1+ year of creating or contributing to mathematical textbooks, research papers, or educational content.
• Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or relevant STEM experience.
• Experience applying theoretical models in an applied environment.

• Ph.D. in Science, Technology, Engineering, or Mathematics (STEM).
• Knowledge of machine learning concepts and their application to reasoning and problem-solving.
• Experience in Python, Perl, or another scripting language.
• Experience in a ML or data scientist role with a large technology company.
• Experience defining and creating benchmarks for assessing GenAI model performance.
• Experience working on multi-team, cross-disciplinary projects.
• Experience applying quantitative analysis to solve business problems and making data-driven business decisions.
• Effective communication of complex concepts through written and verbal communication.

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

Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and following 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.

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

Salary and benefits:
These locations offer the following annual salary ranges:
Culver City $136,000–$184,000;
San Francisco $157,300–$212,800;
Sunnyvale…