Data Scientist, Music Insights & Experimentation

Amazon Music; Seattle (WA); On-site; USD 108,000 - 160,000; Full time

Job summary

Amazon Music, part of Amazon.com Services LLC, is seeking a Data Scientist to pioneer advanced analytics and experimentation for the Music product team. You will partner with product and engineering to deliver data-driven insights and scalable models that power personalized experiences.

The role emphasizes leading science solutions across multiple stakeholders in a fast-paced environment, with a focus on growth, retention, and customer sentiment analysis.

Qualifications

• 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
• 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
• Master's degree in Science, Technology, Engineering, or Mathematics (STEM)
• Ph.D. in STEM (preferred)
• Experience with AI systems and machine learning concepts

Responsibilities

• Data Scientist I will partner with Product and Engineering with experimentation, statistical modeling and analytics
• Conceptualize and drive strategic growth areas: app performance, latency experimentation, Gen AI initiatives
• Bridge science, analytics, and engineering to inform investments and long-term performance
• Drive experimentation, measurement tooling, and ROI tracking for leadership
• Build and maintain causal models to understand customer sentiment and engagement
• Develop structural and predictive models using data science workflows

Skills

SQL

Python

R/SAS/Matlab

Education

Master's degree in STEM

Tools

SPSS

SAS

S-PLUS

R

Hadoop

Spark

MapReduce

Hive

Job description

Amazon Music, part of Amazon.com Services LLC, is seeking a Data Scientist to pioneer advanced analytics and experimentation for the Music product team. You will partner with product and engineering to deliver data-driven insights and scalable models that power personalized experiences.

The role emphasizes leading science solutions across multiple stakeholders in a fast-paced environment, with a focus on growth, retention, and customer sentiment analysis.