Senior Manager, Data Science

Job Description

Job summary
This role can be based in 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, Consumer Product & Technology (DISCO CPT) team is looking for a Senior Manager Data Science 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 attribution, personalization and experimentation. The DISCO CPT team enables the Consumer Product Technology organization to make data driven decisions that improve customer retention, engagement and experience on Amazon Music. We build and maintain automated self-service data solutions, data science models and deep dive difficult questions that provide actionable insights. We also enable measurement, personalization and experimentation by operating key data programs ranging from attribution pipelines to causal frameworks. 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.

Key job responsibilities
• Lead and provide coaching to a team of Data Scientists, Business Intelligence Engineers and Data Engineers
• Partner with Engineering, Product and Machine Learning leaders to develop data-driven business strategy
• Deliver insights and recommendations to help shape strategy across Amazon Music consumer product domains
• Lead research and development of models and science products powering personalization and experimentation
• Scale self-service analytics and insights offerings
• 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, 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
• Demonstrated experience developing successful analytics-based solutions to business problems
• 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)

PREFERRED QUALIFICATIONS
• Expertise in estimation, experimental design, hypothesis and A/B testing
• Ability to work cross-functionally and with others with diverse skill sets
• 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!

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.

Jobcode: Reference SBJ-d525j3-18-188-252-23-42 in your application.