Ph3Research Scientist, Amazon Music - DISCO /h3 pJob ID: | Amazon.com Services LLC /p pAmazon 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. /p pWe 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 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. /p h3Key Job Responsibilities /h3 ul liDevelop Causal Modelsbr/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. /li liConduct Randomized Controlled Trialsbr/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. /li liStatistical Analysis and Inferencebr/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. /li liData‑Driven Decision Makingbr/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. /li liCollaborative Problem Solvingbr/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. /li liStay Current with Industry Trendsbr/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. /li liDocumentation and Reportingbr/Maintain comprehensive documentation of models, experiments, and analytical processes. Prepare reports and presentations that effectively communicate complex analyses to non‑technical audiences. /li /ul h3Basic Qualifications /h3 ul liPhD in a quantitative field, or MS degree and 1+ years of quantitative field research experience /li liExperience investigating the feasibility of applying scientific principles and concepts to business problems and products /li liExperience with data analysis package (R, SAS, Matlab, etc.) /li liExperience using SQL databases to manage and analyze large data sets /li /ul h3Preferred Qualifications /h3 ul liPhD in operations research, applied mathematics, theoretical computer science, or equivalent /li liExperience applying forecasting and data mining techniques /li /ul h3Equal Opportunity Employer /h3 pAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. /p pLocation: USA, California, Culver Citybr/Annual salary range: 125,500.00 – 169,800.00 USD /p h3Compensation Benefits /h3 pYour Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life ADD 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, and parental leave. Learn more about our benefits at /p /p #J-18808-Ljbffr