Amazon · 4 days ago
Data Science Manager, Amazon Music - DISCO
San Francisco, California, USA
Full-time
Hybrid
Senior Level
$142K/yr - $272K/yr
5+ years expAmazon is an immersive audio entertainment service that deepens connections between fans, artists, and creators. They are seeking a Data Science Manager to lead a team of Data Scientists and Business Intelligence Engineers, focusing on strategic growth areas and delivering data-driven insights to improve customer engagement and retention.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
A Data Science Manager serving this role will 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
Qualification
Required
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
Preferred
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
Benefits
Equity
Sign-on payments
Medical
Financial
Other forms of compensation
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-01-11
Company data provided by crunchbase