Data Scientist, Amazon Music - DISCO

Amazon Music; Seattle (WA); On-site; USD 136,000 - 184,000; Full time

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

Description

Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. 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.

Role Overview

The Data, Insights, Science and Optimization, Music Product and Tech (DISCO M&G) team is looking for a Data Scientist to join a team of scientists and engineers who analyze big data, provide analytics and insights and build models and algorithms to power Music product experiences. In this role, you will set the science vision and direction for the team and collaborate with internal stakeholders across marketing tech, Product, science and finance to scale and advance our science offerings. You will lead large‑scale science solutions, prioritize across multiple stakeholders and projects and be part of a fast‑paced, dynamic and fun environment.

Key Responsibilities

• Lead the research and development of models and science products powering customer identity, acquisition, and retention strategies for Amazon Music.
• Partner with Marketing and Growth leadership to develop science‑driven business strategies, including subscriber segmentation, lifecycle management, and upsell programs.
• Build predictive models — including propensity, uplift, and causal inference models — to support targeted marketing initiatives, measure incremental impact, and automate deep dives into key metric variances.
• Collaborate with product, engineering, and marketing teams to evaluate the impact of growth campaigns, features, and algorithmic interventions through rigorous experimentation.
• Analyze experiment results and provide data‑driven recommendations to optimize subscriber acquisition and retention outcomes.
• 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, encouraging a culture of evidence‑based decision making.

About The Team

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.

Basic Qualifications

• 2+ years of data scientist experience.
• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience.
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience.
• 1+ years of guiding and coaching a group of researchers experience.
• 1+ years of working with or evaluating AI systems 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), or experience working in STEM.
• Experience applying theoretical models in an applied environment.

Preferred Qualifications

• Ph.D. in Science, Technology, Engineering or Mathematics (STEM).
• Knowledge of machine learning concepts and their application to reasoning and problem‑solving.
• Experience in Python, Perl, or another scripting language.
• Experience in a ML or data scientist role with a large technology company.
• Experience in defining and creating benchmarks for assessing GenAI model performance.
• Experience working on multi‑team, cross‑disciplinary projects.
• Experience applying quantitative analysis to solve business problems and making data‑driven business decisions.
• Experience effectively communicating complex concepts through written and verbal communication.

Benefits

Amazon also offers comprehensive benefits including 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, and parental leave.

Equal Opportunity Employer

Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Legal Notice

Los Angeles County applicants: Job duties for this position include: 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; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. 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.

Salary Range

USA, CA, Culver City: $136,000.00 – $184,000.00 USD annually

USA, CA, San Francisco: $157,300.00 – $212,800.00 USD annually

USA, CA, Sunnyvale: $157,300.00 – $212,800.00 USD annually

USA, WA, Seattle: $136,000.00 – $184,000.00 USD annually

Company

Amazon.com Services LLC