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About the Role

Amazon Music is seeking a Data Scientist to join the Data, Insights, Science and Optimization, Consumer Product and Tech (DISCO CPT) team. This role will analyze big data, provide analytics and insights, and build models and algorithms to power personalized experiences. The team focuses on accelerating customer growth by empowering Product teams with data-driven decisions. You will pioneer and execute advanced analytics and experimentation efforts, work with stakeholders, deliver experimentation insights, author scientific artifacts, and build scalable models.

Responsibilities

Serve as a thought partner to Product and Engineering organizations through expertise in experimentation, statistical modeling, and advanced analytics.
Conceptualize and drive strategic growth areas, including app performance, stability and latency experimentation, Gen AI initiatives, and product excellence.
Bridge science, analytics, and engineering to deliver solutions informing strategic decisions on technology investments and long-term business performance.
Drive experimentation, measurement efficiency tooling, and ROI tracking for leadership.
Build and maintain causal models to understand customer sentiment and its impact on key engagement/retention metrics.
Develop structural and predictive models using data science workflows to deliver measurable customer results.
Lead strategic initiatives across visual and voice experiences, experimentation, and customer retention stakeholders.
Conduct experimentation and build causal models to better understand key drivers for customer retention.
Evaluate existing metrics and lead deep dives to ensure the right measurement framework is leveraged to measure and enhance user adoption through visual and voice interfaces.
Partner with product managers to translate business questions into actionable science projects.
Influence product roadmaps through data-driven insights on customer behavior patterns.
Identify and resolve customer experience friction points with cross-functional teams.
Drive adoption of best practices and innovative solutions across the organization.

Requirements

1+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab, etc.).
2+ years of experience as a data/research scientist, statistician, or quantitative analyst in an internet-based company with complex and big data sources.
1+ years of experience creating or contributing to mathematical textbooks, research papers, or educational content.
Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or equivalent experience working in STEM fields.

Skills

Experimentation
Statistical modeling
Advanced analytics
Data querying languages (SQL)
Scripting languages (Python)
Statistical/mathematical software (R, SAS, Matlab)
Causal models
Structural models
Predictive models
Data science workflows
Measurement efficiency tooling
ROI tracking
Machine learning concepts
Clustered data processing (Hadoop, Spark, Map-reduce, Hive)
Quantitative analysis
Complex concepts communication (written and verbal)

Location

USA, CA, Culver City
USA, CA, San Francisco
USA, WA, Seattle

Work Type

Full-time

Experience Level

1+ years
2+ years

Education Level

Master's degree in Science, Technology, Engineering, or Mathematics (STEM)
Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)

Salary/Compensations

Culver City: $122,600.00 - $160,000.00 USD annually
San Francisco: $124,600.00 - $185,000.00 USD annually
Seattle: $108,300.00 - $160,000.00 USD annually

Benefits

Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription)
Basic Life & AD&D insurance
Supplemental life plans
EAP
Mental Health Support
Medical Advice Line
Flexible Spending Accounts
Adoption and Surrogacy Reimbursement coverage
401(k) matching
Paid time off
Parental leave

About the Company

Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators.
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers.

Equal Opportunity

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.