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About the Role
Amazon Music is seeking a highly skilled and analytical Data Scientist to play an integral part in the measurement and optimization of marketing activities. You will develop and implement models for audience segmentation, AI-enablement in data/reporting, and assess randomized controlled trials to rate marketing effectiveness. This role offers the opportunity to influence how Amazon Music engages fans, artists, and creators globally.
Responsibilities
- Develop Causal & Predictive Models: Build and validate causal and predictive models that quantify how marketing and lifecycle programs affect customer retention, engagement, and subscriber growth for Amazon Music. Own the team's models end to end.
- Statistical Analysis at Scale: Analyze large customer datasets using SQL and Python or R to interpret results and uncover meaningful patterns, grounding your work in trusted, well-governed data.
- Enable Data-Driven Decisions: Partner with marketing and finance stakeholders to deliver recommendations that improve retention and return on investment. Prioritize the work with the greatest impact on customer growth, and present findings clearly to both technical and executive audiences.
- Bring AI into Self-Service Tools: Partner with product managers and engineers to incorporate AI and machine learning into the team's self-service analytics tools, so stakeholders can answer their own questions faster and at greater scale.
- Cross-Functional Problem Solving: Work across marketing, product, and engineering teams to frame key business questions and build credible analytical solutions.
- Innovate & Document: Track emerging methods and apply them to improve measurement; maintain reproducible documentation and clear reporting for non-technical audiences.
Requirements
- Experience working as a Data Scientist
- Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
- Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance
- Experience applying theoretical models in an applied environment
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
Skills
- Data Science
- SQL
- Python
- R
- Machine Learning
- Statistical Modeling
- Causal Inference
- Cohort Analysis
- Data Analysis
- Data Visualization
- Predictive Modeling
- Perl
About the Company
- Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators.
- 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.
- Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.
- Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
- Our inclusive culture empowers Amazonians to deliver the best results for our customers.
- If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Equal Opportunity
- Amazon is an equal opportunities employer.
- We believe passionately that employing a diverse workforce is central to our success.
- We make recruiting decisions based on your experience and skills.
- We value your passion to discover, invent, simplify and build.
- m/w/d