Hiring: Data Scientist, Amazon Music - DISCO Company: Amazon Music Location: Sunnyvale, CA Job Posted Time: 2026-09-10 11:06:14 Target Skills & Keywords : Data Pipeline, MATLAB, Machine Learning, Perl, Python, R, SQL About the job Experience: •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 Required Skills: •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 •Partner 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 •Partner cross-functionally 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 Qualifications: •Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM) •Ph.D. in Science, Technology, Engineering, or Mathematics (STEM) •Knowledge of machine learning concepts and their application to reasoning and problem-solving Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!