Data Scientist, Amazon Music - DISCO

About the role

The Data, Insights, Science and Optimization, Music Product and Tech (DISCO M&G) team is seeking a Data Scientist to drive science vision and direction for the team. This role involves setting science priorities, collaborating with internal stakeholders, and scaling and advancing scientific offerings.

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.

• Education and experience:

  • 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 working with or evaluating AI systems experience.

Requirements

• Master's degree in Science, Technology, Engineering, or Mathematics (STEM) or equivalent experience.

• Experience applying theoretical models in an applied environment.

• 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.

• Effective communication skills, including written and verbal communication.

Qualifications

• Bachelor's Degree plus 5+ years of relevant experience OR Master's Degree with 2+ years of relevant experience.

Skills

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

• 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.

• Effective communication skills, including written and verbal communication.

Benefits

Amazon offers comprehensive benefits including health insurance, retirement plans, paid time off, and parental leave. For more information, visit https://amazon.jobs/en/benefits.