Data Scientist, Amazon Music - DISCO
AI summary of the role
Data Scientist on Amazon Music's DISCO M&G team, setting science vision and building models for customer identity, acquisition, and retention.
What you’ll do
- Lead R&D of models and science products for customer identity, acquisition, and retention
- Partner with Marketing and Growth leadership to develop science-driven business strategies
- Build predictive models (propensity, uplift, causal inference) for targeted marketing and impact measurement
- Evaluate impact of growth campaigns and features through rigorous experimentation
What you’ll bring
- 2+ years of data scientist experience
- 3+ years with SQL, Python, R, SAS, Matlab, or similar
- 3+ years of machine learning/statistical modeling experience
- 1+ years working with or evaluating AI systems
Technologies
SQL · Python · R · SAS · Matlab · Perl · machine learning · causal inference · experimentation · GenAI
About Amazon (incl AWS)
Online retail, third-party marketplace, Prime/ads/devices, and AWS — the world's largest cloud platform powering startups and enterprises.
Public
Source and classification
Internal deployment & tooling · Evidence for this classification:
Science and Optimization, Music Product and Tech (DISCO M&G) 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. In this role, you will set the science vision and direction for the team and collaborate with internal stakeholders across marketing tech, Product , science and finance to scale and advance our science offerings. You will lead large scale science solutions, prioritize across multiple stakeholders and projects and be part of a fast-paced, dynamic and fun environment. Key job responsibilities • Lead the research and development of models and science products powering customer identity, acquisition, and retention strategies for Amazon Music • Partner with Marketing and Growth leadership to develop science-driven business
More from the job description
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. The Data, Insights, Science and Optimization, Music Product and Tech (DISCO M&G) 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. In this role, you will set the science vision and direction for the team and collaborate with internal stakeholders across marketing tech, Product , science and finance to scale and advance our science offerings. You will lead large scale scienc [... source excerpt omitted ...] lders and projects and be part of a fast-paced, dynamic and fun environment. Key job responsibilities • Lead the research and development of models and science products powering customer identity, acquisition, and retention strategies for Amazon Music • Partner with Marketing and Growth leadership to develop science-driven business strategies, including subscriber segmentation, lifecycle management, and upsell programs • Build predictive models — including propensity, uplift, and causal inference models — to support targeted marketing initiatives, measure incremental impact, and automate deep dives into key metric variances • Collaborate with product, engineering, and market [... source excerpt omitted ...] rement frameworks, and experimentation best practices, encouraging a culture of evidence-based decision making About the team The DISCO team focuses on accelerating Amazon Music customer growth by empowering product 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. Basic qualifications - 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.) experi
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