Data Scientist (FTC), Amazon Music Machine LearningPersonalization

Amazon Music; Berlin; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading audio entertainment service in Berlin is looking for an Applied Scientist to transform how millions enjoy music, audiobooks, and podcasts via personalized recommendations. You'll create data-driven models that enhance user experience by leveraging audio data and metadata. Collaborate closely with engineers and business teams to help shape the future of music through machine learning. This is a full-time, fixed-term role until July 2026.

Qualifikationen

• Experience programming or scripting languages like Python, Java, C, or C++.
• Experience in professional software development.
• Experience in building models for business applications.

Aufgaben

• Create innovative ML solutions for customized musical joy.
• Collaborate with engineers and scientists to guide research and build scalable models.
• Drive experiments and rapid prototyping leveraging Amazon's data.

Kenntnisse

Machine Learning

Data Analysis Skills

Programming or scripting languages (Python, Java, C)

Building models for business applications

Experience with data scripting languages (SQL, Python, R)

Working with science data processing and software engineering teams

Jobbeschreibung

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.

Imagine shaping how millions of customers discover and engage with digital music and audio leveraging the resources of a Fortune-500 company within the atmosphere of a start-up. Love collaborating with a wide range of internal and external partners to drive successful partnerships If so come and build the future of music and audio with us.

Transform how people enjoy music audiobooks & podcasts with personalized recommendations as our Applied Scientist in Berlin. Support the design development & deployment of data-driven models that recommend the right content at the right time based on customer context & behaviour. Leverage audio data metadata & listening patterns to create innovative features that personalize the Amazon Music experience. Collaborate with engineers and business teams to ensure coherent personalization across Amazon Music from conception to production. You will make listening magical again through the power of personalization!

Please note this is a fixed term contract until July 2026.

Key job responsibilities

• Create Innovative ML Solutions for Customized Musical Joy. Through A / B testing and online experiments done hand-in-hand with engineering teams youll implement and validate your ideas and solutions.
• Chart the Course to Musical Discovery. Seek new directions to guide Amazon Musics quest to match each customer with their perfect playlists.

A day in the life

Lead innovation to shape Amazon Music experiences. Collaborate with talented engineers and scientists to guide research and build scalable models across our audio portfolio - music podcasts live streaming and more. Drive experiments and rapid prototyping leveraging Amazons data at scale. Innovate to delight customers worldwide through personalization.

About the team

Bring music to life through machine learning! Our Berlin teams breathe passion into Amazon Music optimizing each recommendation for our customers unique tastes. Scale your work across music apps web player and Alexa devices fine-tuning the algorithms behind our recommendation and personalization features. Collaborate with global teams to create the future of musical engagement one stream at a time. Help us surprise and delight Amazon Music fans with an ever-better listening experience. Join our mission to personalize music through machine learning!

• Experience programming or scripting language like Python Java C or C
• Experience in building models for business application
• Experience with data scripting languages (e.g. SQL Python R or equivalent) or statistical / mathematical software (e.g. R SAS Matlab or equivalent)
• Experience working effectively with science data processing and software engineering teams
• Experience in professional software development

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 ( 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 for more information. If the country / region youre applying in isnt listed please contact your Recruiting Partner.

Required Experience :

Contract

Key Skills

• Laboratory Experience
• Immunoassays
• Machine Learning
• Biochemistry
• Assays
• Research Experience
• Spectroscopy
• Research & Development
• cGMP
• Cell Culture
• Molecular Biology
• Data Analysis Skills

Employment Type: Full-Time

Experience: years

Vacancy: 1