Data Scientist, Music - DISCO

Job :  |  Services LLC

Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert live streams 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. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale.

• Lead the research and development of models and science products powering personalized recommendations.
• Partner with product leaders at Amazon Music to develop science‑driven business strategies.
• Collaborate with science, marketing and product teams across Amazon Entertainment and subscription businesses.
• Educate internal teams on analytics, insights and measurement.
• Develop models to determine drivers of key performance metrics and automate the process of deep diving into variances.
• Collaborate with product and engineering teams to evaluate the impact of new features or algorithms (e.g., the Playlist Song Recommendation experiments).
• Analyze the results of experiments and provide recommendations to optimize solutions.
• Partner with Senior Data Scientists and Product Managers to analyze and propose success and guardrail metrics.
• Encourage the use of experimentation and advanced analytics across the organization.

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.

• 2+ years of data scientist experience.
• 3+ years of data querying languages (e.g., SQL) or scripting languages (e.g., Python) or statistical/mathematical software (e.g., R, SAS, Matlab).
• 3+ years of machine learning/statistical modeling experience, data analysis tools and techniques, and parameters that affect their performance.
• 1+ year of guiding and coaching a group of researchers.
• 1+ year of working with or evaluating AI systems.
• 1+ year of creating or contributing to mathematical textbooks, research papers, or educational content.
• Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or equivalent experience in STEM.
• Experience applying theoretical models in an applied environment.

• 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 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.

The base salary range for this position is  –  USD annually for locations in San Francisco and Sunnyvale, CA. Your Amazon package will include sign‑on payments, restricted stock units (RSUs), health insurance (medical, dental, vision, prescription, Basic Life & AD&D, 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.

Learn more about our benefits at (Use the "Apply for this Job" box below)..

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