Data Scientist, Amazon Music - DISCO

About the role

The Data, Insights, Science and Optimization, Music Product and Tech (DISCO MPT) 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.

Responsibilities

• 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
• 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

Requirements

• 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 Science, Technology, Engineering, or Mathematics (STEM)

Qualifications

• 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
• Effective communication skills, both written and verbal