Music Data Scientist: Growth & Personalization

Amazon Music

Seattle (WA)

On-site

USD 136,000 - 184,000

Full time

14 days+

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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon Music in Seattle seeks a Data Scientist to analyze big data and build predictive models, enhancing customer acquisition and retention strategies. The ideal candidate will have 2+ years of experience in data science, strong skills in SQL and Python, and hold a Master’s degree in a STEM field.

Joining the DISCO team, you’ll collaborate with marketing, product, and engineering teams to drive data-driven insights in a dynamic environment. We offer competitive salaries and comprehensive benefits.

Qualifications

  • 2+ years of experience as a data scientist.
  • 3+ years experience in data querying and scripting languages.
  • 1+ years of guiding researchers.
  • Master's degree in STEM or related experience.

Responsibilities

  • Lead R&D of models for customer identity and acquisition.
  • Partner with marketing leadership on data-driven strategies.
  • Build predictive models to support marketing initiatives.
  • Analyze experiment results for optimization recommendations.
  • Educate teams on analytics and experimentation practices.

Skills

Data querying languages (e.g., SQL)
Scripting languages (e.g., Python)
Machine learning/statistical modeling
Guiding and coaching researchers
Creating educational content

Education

Master's degree in STEM

Tools

R
SAS
Matlab

Job description

Amazon Music in Seattle seeks a Data Scientist to analyze big data and build predictive models, enhancing customer acquisition and retention strategies. The ideal candidate will have 2+ years of experience in data science, strong skills in SQL and Python, and hold a Master’s degree in a STEM field.

Joining the DISCO team, you’ll collaborate with marketing, product, and engineering teams to drive data-driven insights in a dynamic environment. We offer competitive salaries and comprehensive benefits.

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