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About the Role

Amazon Music is seeking a Data Scientist to join the Data, Insights, Science and Optimization, Music Product and Tech (DISCO M&G) team. This role involves analyzing big data, providing analytics and insights, and building models and algorithms to enhance Music product experiences. You will set the science vision, collaborate with internal stakeholders, and lead large-scale science solutions in a fast-paced environment.

Responsibilities

Lead research and development of models and science products for customer identity, acquisition, and retention strategies.
Partner with Marketing and Growth leadership to develop science-driven business strategies, including segmentation, lifecycle management, and upsell programs.
Build predictive models (propensity, uplift, causal inference) to support targeted marketing, measure incremental impact, and automate deep dives into metric variances.
Collaborate with product, engineering, and marketing teams to evaluate the impact of growth campaigns, features, and algorithmic interventions through experimentation.
Analyze experiment results and provide data-driven recommendations to optimize subscriber acquisition and retention.
Partner with Senior Data Scientists and Product Managers to define, propose, and validate success and guardrail metrics for identity and growth programs.
Educate marketing and growth teams on analytics, measurement frameworks, and experimentation best practices.

Requirements

2+ years of data scientist experience.
3+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab).
3+ years of experience with machine learning/statistical modeling data analysis tools and techniques, and parameters affecting their performance.
1+ years of experience working with or evaluating AI systems.
Experience applying theoretical models in an applied environment.
Bachelor's Degree plus 5+ years of relevant experience OR Master's Degree with 2+ years of relevant experience.
Work safely and cooperatively with other employees, supervisors, and staff.
Adhere to standards of excellence despite stressful conditions.
Communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service.
Follow all federal, state, and local laws and Company policies.
Consideration for employment of qualified applicants with arrest and conviction records in Los Angeles County and San Francisco.

Skills

Machine learning concepts and their application to reasoning and problem-solving.
Python, Perl, or another scripting language.
Defining and creating benchmarks for assessing GenAI model performance.
Applying quantitative analysis to solve business problems.
Making data-driven business decisions.
Effectively communicating complex concepts through written and verbal communication.

Location

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

Work Type

Full-time

Experience Level

2+ years of data scientist experience
5+ years of relevant experience (with Bachelor's Degree)
2+ years of relevant experience (with Master's Degree)

Education Level

Bachelor's Degree
Master's Degree in Science, Technology, Engineering, or Mathematics (STEM)

Salary/Compensations

136,000.00 - 184,000.00 USD annually (Culver City, Seattle)
157,300.00 - 212,800.00 USD annually (San Francisco, Sunnyvale)

Benefits

Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for 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.
The DISCO team focuses on accelerating Amazon Music customer growth by empowering product teams to make sound, customer-centric decisions through data and insights.
We build data pipelines, self-service analytics, insights and predictive models enabling acquisition, engagement and retention at scale with personalized customer touchpoints.
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.