Data Scientist - Growth & Retention for Music

Amazon Music; Ciudad de México; Presencial; MXN 600.000 - 900.000; Jornada completa

Descripción de la vacante

Amazon Music is seeking a Data Scientist to join the DISCO M&G team to build analytics, models, and insights that power our music product experiences. You will set science direction, collaborate across marketing, product, and finance, and drive scalable data-driven decisions.

You will lead large-scale science solutions, prioritize projects, and work in a fast-paced environment to influence subscriber growth and engagement.

Formación

• 2+ years of data scientist experience.
• 3+ years of data querying languages (e.g. SQL) or scripting experience (e.g. Python).
• 3+ years of ML/statistical modeling and data analysis.
• 1+ years of working with or evaluating AI systems.
• Master's degree in STEM or equivalent experience.
• Experience applying theoretical models in an applied environment.

Responsabilidades

• Lead research and development of models and science products for customer identity, acquisition, and retention.
• Partner with Marketing and Growth to develop science-driven strategies including segmentation and lifecycle management.
• Build predictive models (propensity, uplift, causal inference) for targeted marketing and insights.
• Collaborate with product/engineering/marketing to evaluate growth campaigns via experiments.
• Analyze experiment results and provide data-driven recommendations.
• Define metrics for identity and growth programs with stakeholders.
• Educate teams on analytics, measurement frameworks, and experimentation best practices.

Conocimientos

Data science

Machine learning

Experimentation

Communication

Educación

Master's degree in STEM

PhD in STEM

Herramientas

SQL

Python

R

Descripción del empleo

Amazon Music is seeking a Data Scientist to join the DISCO M&G team to build analytics, models, and insights that power our music product experiences. You will set science direction, collaborate across marketing, product, and finance, and drive scalable data-driven decisions.

You will lead large-scale science solutions, prioritize projects, and work in a fast-paced environment to influence subscriber growth and engagement.