Data Scientist, 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.

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 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 job responsibilities
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 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
- 1 years of guiding and coaching a group of researchers experience
- 1 years of working with or evaluating AI systems experience
- 1 years of creating or contributing to mathematical textbooks research papers or educational content experience
- Masters degree in Science Technology Engineering or Mathematics (STEM) or experience working in Science Technology Engineering or Mathematics (STEM)
- 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 in 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
- Experience effectively communicating 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.

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.

The 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 CA Culver City - 136000.00 - 184000.00 USD annually
USA CA San Francisco - 157300.00 - 212800.00 USD annually
USA CA Sunnyvale - 157300.00 - 212800.00 USD annually
USA WA Seattle - 136000.00 - 184000.00 USD annually