Data Science Manager, Amazon Music - DISCO

Amazon • Seattle, WA

1d

About The Position

Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams 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.

Requirements

• 5+ years of building quantitative solutions as a scientist or science manager experience
• 2+ years of scientists or machine learning engineers management experience
• 5+ years of applying statistical models for large-scale application and building automated analytical systems experience
• PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field
• Knowledge of Python or R or other scripting language

Nice To Haves

• Experience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection)
• Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems

Responsibilities

• Act as thought partner to L8s of Product and Engineering organizations
• Manage team of BIEs and Data Scientists leading strategic growth areas: retention, voice + visual engagement, organization-wide experimentation, Gen AI initiatives for customer sentiment analysis, and product excellence.
• Bridge science, analytics, and engineering to deliver solutions informing strategic decisions on AM technology investments and long-term business performance
• Lead experimentation program evolution, including culture enhancement, measurement efficiency tooling, and ROI tracking for AM leadership
• Build and maintain customer segmentation models to understand streaming behaviors and forecast responses to personalization changes
• Develop structural and predictive models using data science workflows to deliver measurable customer results
• Manage and develop data scientists specializing in experimentation and customer analytics
• Lead strategic relationships across music voice + visual, retention, experimentation, Gen AI, and FPE initiatives
• Conduct experimentation and hypothesis testing, build launch measurements, goal benchmarking, and forecasting
• Develop science models for targeting and create operational reporting with anomaly detection for product health monitoring
• Partner with product managers to translate business questions into actionable science projects
• Influence product roadmaps through data-driven insights on customer behavior patterns
• Provide hands-on leadership through daily stand-ups and sprint planning
• Review code, data warehouse designs, and oversee ETL pipeline development
• Monitor system performance and data quality metrics
• Conduct stakeholder meetings and present insights to senior leadership
• Design, build, and maintain real-time metrics, reports, analyses, and dashboards with full audit capabilities
• Build interactive dashboards and reports using Amazon QuickSight
• Identify and resolve customer experience friction points with cross-functional teams
• Establish performance metrics and audit mechanisms to track team progress
• Drive adoption of best practices and innovative solutions across the organization

Benefits

• Our compensation reflects the cost of labor across several US geographic markets.
• The base pay for this position ranges from $142,300/year in our lowest geographic market up to $272,400/year in our highest geographic market.
• Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.
• Amazon is a total compensation company.
• Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
• For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: Ph.D. or professional degree