Research Scientist, Amazon Music - DISCO
Listed on 2026-07-15
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IT/Tech
Data Scientist
Job Overview
Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert live streams and artist merch, Amazon Music innovates at the intersections of music and culture. We offer tiered access:
Prime members enjoy all music in shuffle mode and ad‑free podcasts; customers can upgrade to Amazon Music Unlimited for unlimited, on‑demand access to 100 million songs, including HD, Ultra HD, and spatial audio; and anyone can download the Amazon Music app or use Alexa‑enabled devices to listen for free.
We are seeking a highly skilled Research Scientist to measure and optimize Amazon Music marketing activities. The role focuses on developing and implementing causal models and randomized controlled trials to assess marketing effectiveness and inform strategic decision‑making. The successful candidate will use a rich marketing dataset, work closely with marketing managers, and translate complex data into actionable insights.
Key Responsibilities- Design, build, and validate causal models to evaluate the impact of marketing campaigns and initiatives.
- Leverage advanced statistical methods to identify and quantify causal relationships.
- Design and implement randomized controlled trials (RCTs) to rigorously test the effectiveness of marketing strategies.
- Perform complex statistical analyses to interpret data from experiments and observational studies.
- Analyze large datasets using statistical software and programming languages to extract meaningful patterns.
- Collaborate with marketing teams to provide data‑driven recommendations that enhance campaign performance and ROI.
- Present findings and insights to stakeholders in a clear and actionable manner.
- Work closely with cross‑functional teams, including marketing, product, and engineering, to identify key business questions and develop analytical solutions.
- Stay current with industry trends in data science, causal inference, and marketing analytics, applying new methodologies to improve measurement accuracy and efficiency.
- Maintain comprehensive documentation of models, experiments, and analytical processes.
- Prepare reports and presentations that communicate analysis results to non‑technical audiences.
- PhD or Master’s degree with 4+ years of quantitative field research experience.
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products.
- Experience analyzing both experimental and observational datasets.
- Experience in causal modeling, including graphical models, causal Bayesian networks, potential outcomes, A/B testing, experiments, quasi‑experiments, and data science workflows.
- Knowledge of R, MATLAB, Python, or similar scripting language.
- Experience with agile development.
- Experience building web‑based dashboards using common frameworks.
- Experience in machine learning, statistics, and deep learning.
- Experience working with data mining on large datasets.
- Experience collaborating with cross‑functional teams.
Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Base salary ranges:
USA, CA, Culver City: – USD annually
USA, CA, San Francisco: – USD annually
USA, NY, New York: – USD annually
USA, WA, Seattle: – USD annually
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