Senior Manager, Data Science, Analytics & Insights, Amazon Music Marketing & Growth

This role can be based in New York, San Francisco, Seattle, Los Angeles or Atlanta.

Imagine being a part of an agile team where your ideas have the potential to reach millions. Picture working on cutting-edge consumer-facing products, where every single team member is a critical voice in the decision-making process. Envision being able to leverage the resources of a Fortune-500 company within the atmosphere of a start-up. Welcome to Amazon Music, where ideas are born and come to life as Amazon Music Unlimited, Prime Music, and so much more. Amazon Music is focused on building a personalized, curated, and seamless music experience. We want to help our customers discover up-and-coming artists, while also having access to their favorite established musicians. We build systems that are distributed on a large scale, spanning our music apps, web player, and voice-forward audio engagement on mobile and Amazon Echo devices, powered by Alexa to support our customer base. Amazon Music offerings are available around the world, and our applications support our mission of delivering music to customers in new and exciting ways that enhance their day-to-day lives. Come innovate with the Amazon Music team!


The Data, Insights, Science and Optimization, Marketing & Growth (DISCO M&G) team is looking for a Senior Data Science Manager to lead a team of Data Scientists, Business Intelligence Engineers and Data Engineers who analyze big data, provide analytics and insights as well as build models and algorithms that power “hands off the wheel” marketing for personalized experiences. DISCO M&G team focuses on accelerating Amazon Music customer growth by empowering Marketing & Growth 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. In this role, you will set the vision and direction for the team and collaborate with internal stakeholders across marketing, growth, product, science and finance teams to scale and advance our science and analytics offerings. The ideal candidate must be willing to effectively lead the team, project-manage and prioritize across multiple stakeholders and projects, exhibit strong problem-solving skills and be ready to jump into a fast-paced, dynamic and fun environment.

About the hiring group

DISCO M&G team focuses on accelerating Amazon Music customer growth by empowering Marketing & Growth teams to make sound, customer-centric decisions through data and insights.

Job responsibilities

• Lead and provide coaching to a team of Data Scientists, Business Intelligence Engineers and Data Engineers
• Partner with Marketing & Growth leaders to develop data-driven business strategy
• Deliver insights and recommendations to help shape strategy across Amazon Music marketing and growth domains
• Lead research and development of models and science products powering personalized marketing
• Scale self-service analytics and insights offering
• Partner with science, marketing and product teams across Amazon entertainment and subscription businesses
• Educate and evangelize across internal teams on analytics, insights and measurement by writing whitepapers and knowledge documentation and delivering learning sessions.

Basic Qualifications

• MS degree in Business, Economics, Statistics, Data Science, Data Mining, or other quantitative field.
• 8+ years of experience in Analytics, Data Science Business Intelligence or other quantitative disciplines and a degree in statistics, economics, mathematics, or similar quantitative discipline.
• 4+ years of analytical people management experience
• Deep experience developing successful analytics-based solutions to business problems
• Expertise in estimation, experimental design, hypothesis and A/B testing.
• Familiarity with probability, probability distributions, statistics and causal inference.
• Knowledge of various machine learning techniques and key parameters that affect their performance.
• Experience with data scripting languages (e.g. SQL, Python) or statistical/mathematical software (e.g. R, SAS, or Matlab).
• Excellent organizational, interpersonal, and communication skills (both written and verbal)
• Ability to work cross-functionally and with others with diverse skill sets

Preferred Qualifications

• Experience in marketing, advertising technology or entertainment domain
• Experience with writing academic-styled papers for presenting both the methodologies used and results for data science projects
• Ph.D. in Science, Engineering, Economics, Statistics or other quantitative fields
• Knowledge of data warehouse and AWS services.
• A passion for music!