Sr, Economist, Amazon Music DISCO

Amazon; Berlin; Vor Ort; EUR 90.000 - 140.000; Vollzeit

Zusammenfassung

Amazon Development Center Germany GmbH in Berlin seeks a senior economist for Amazon Music to measure and optimize marketing activities. You will develop causal models, run randomized controlled trials, and translate results into strategic recommendations across global campaigns.

The role requires expertise in quantitative research, causal inference, and data-driven problem solving, with collaboration across marketing, product, and engineering teams.

Qualifikationen

• PhD or a Master’s degree in a quantitative field and relevant experience.
• Experience applying scientific principles to business problems and products.
• Experience analyzing both experimental and observational data sets.
• Experience in causal modeling (graphical models, causal Bayesian networks, A/B testing, experiments, quasi-experiments).

Aufgaben

• Develop causal models to evaluate marketing campaigns and initiatives.
• Design and implement randomized controlled trials to test marketing strategies.
• Perform complex statistical analyses of experiments and observational data.
• Provide data-driven recommendations to enhance campaign performance and ROI.
• Collaborate with cross-functional teams to translate analyses into actionable insights.
• Stay updated with industry trends in data science and marketing analytics.
• Maintain documentation of models and experiments and present findings to stakeholders.

Kenntnisse

Causal modeling

Data analysis

Experiment design

Statistical reasoning

Ausbildung

PhD or Master’s in quantitative field

Tools

Python

R

SQL

Jobbeschreibung

Job ID: 10504073 | Amazon Development Center Germany GmbH

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 senior economist. 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 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.

About the team

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. DISCO M&G is the science and analytics team that supports the entire Marketing & Growth Org.

Basic Qualifications

• PhD, or a Master's degree and experience in quantitative field research
• 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 Qualifications

• Knowledge of a scripting language (Python, R, etc.)
• Experience working with agile development methodologies
• PhD, or a Master's degree and experience building web based dashboards using common frameworks
• Knowledge of deep learning, machine learning and statistics
• Experience mining and analyzing large, complex data sets
• Experience leading and interacting with cross‑functional teams

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://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates.

m/w/d

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.