Amazon.com Services LLC

Research Science, entertainment

ResearchScientist,AmazonMusic-DISCO

$136–184k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Research Scientist, Amazon Music - DISCO at Amazon.com Services LLC. Skills: Causal inference, Statistical analysis, Marketing effectiveness, Data science. Develop causal models. Design causal models”

What You'll Achieve.

Enhance campaign performance; Enhance ROI

Industry & Context.

Research Science, entertainment
Problems you'll solve

Data-driven problem-solving; Analytical solutions

What They're Looking For.

Must Have

Master's degree and 4+ years quantitative field experience, Experience investigating scientific principles, Experience analyzing experimental data, Experience analyzing observational data, Experience in causal modeling

Nice to Have

PhD, Knowledge of R, Knowledge of MATLAB, Knowledge of Python, Experience with agile development, Experience building web dashboards, Experience in machine learning, Experience in statistics, Experience in deep learning, Experience with data mining large datasets, Experience working with cross-functional teams

What You'll Do.

Develop causal models

Validate causal models

Conduct randomized controlled trials

Implement randomized controlled trials

Perform statistical analyses

Analyze large datasets

Extract meaningful patterns

Provide data-driven recommendations

Enhance campaign performance

Collaborate with cross-functional teams

Identify key business questions

Develop analytical solutions

Keep abreast of developments

Apply new methodologies

Apply new technologies

Maintain documentation

Prepare presentations

How You'll Work.

Team & Collaboration

Cross-functional teams; Marketing teams; Product teams; Engineering teams

Communication Scope

Present findings; Present insights; Communicate analyses

Full 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. We are seeking a highly skilled and analytical Research Scientist. You will play an integral part in the measurement and optimization of Amazon Music marketing activities. You will have the opportunity to work with a rich marketing dataset together with the marketing managers. This role will focus on developing and implementing causal models and randomized controlled trials to assess marketing effectiveness and inform strategic decision-making. This role is suitable for candidates with strong background in consumer research, survey data models, causal inference, statistical analysis, and data-driven problem-solving, with the ability to translate complex data into actionable insights. As a key member of our team, you will work closely with cross-functional partners to optimize marketing strategies and drive business growth. Key job 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 implemen

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