Research Scientist, Amazon Music - DISCO jobs in United States
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Amazon Music · 14 hours ago

Research Scientist, Amazon Music - DISCO

Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. They are seeking a highly skilled and analytical Research Scientist to measure and optimize marketing activities through causal models and randomized controlled trials, collaborating closely with cross-functional teams to drive business growth.

Digital MediaMusicMusic Streaming
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H1B Sponsor Likelynote

Responsibilities

Develop Causal Models
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
Conduct Randomized Controlled Trials
Design and implement randomized controlled trials (RCTs) to rigorously test the effectiveness of marketing strategies. Ensure robust experimental design and proper execution to derive credible insights
Statistical Analysis and Inference
Perform complex statistical analyses to interpret data from experiments and observational studies. Use statistical software and programming languages to analyze large datasets and extract meaningful patterns
Data-Driven Decision Making
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
Collaborative Problem Solving
Work closely with cross-functional teams, including marketing, product, and engineering, to identify key business questions and develop analytical solutions. Foster a culture of data-informed decision-making across the organization
Stay Current with Industry Trends
Keep abreast of the latest developments in data science, causal inference, and marketing analytics. Apply new methodologies and technologies to improve the accuracy and efficiency of marketing measurement
Documentation and Reporting
Maintain comprehensive documentation of models, experiments, and analytical processes. Prepare reports and presentations that effectively communicate complex analyses to non-technical audiences

Qualification

Causal ModelingStatistical AnalysisRandomized Controlled TrialsRPythonMachine LearningData MiningCollaborationDocumentationCommunication

Required

PhD, or Master's degree and 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 data sets
Experience in causal modeling like graphical models, causal Bayesian network, potential outcomes, A/B testing, experiments, quasi-experiments, and data science workflows

Preferred

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 working with cross-functional teams

Benefits

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave

Company

Amazon Music

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Amazon Music is a music platform and online music store that connects fans, artists, and creators through music, podcasts, and culture. It is a sub-organization of Amazon.

H1B Sponsorship

Amazon Music 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
Late Stage

Leadership Team

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Emily Hawcroft
Sr. Global Manager - Artist and Label Partnerships
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Frankie Yaptinchay
Sr. Project Manager, Audience Development & Creative Partnerships
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Company data provided by crunchbase