Data Scientist - Amazon Music

Job description

DESCRIPTION

At Amazon Music we apply data science to push the envelope in music recommendation and personalization! We're looking for a highly skilled and experienced Data Scientists to join the Music ML teams in Berlin. You will collaborate with other scientists and talented engineers to mine our data and turn it into unique and powerful insights to optimize visual and voice experiences for our customers. You will evaluate machine learning models using large datasets such as customer’s listening behaviour to improve customer experiences through better recommendations, search results, or song sequencing.

Your Role
· Use data-driven approaches to identify and solve difficult science and technology problems.
· Evaluate new features and their impact on customer experiences by designing experiments to measure their impact.
· Be hands-on and raise the bar on team-wide best practices for data collection, experimentation and analysis.
· Stay current on knowledge to keep pace with rapidly changing science and technology, and work with the team in bringing new science on board.
· Actively mentor junior scientists and involve yourself in the hiring process and interviews to grow our teams.
· Jointly work across teams to influence the overall data science strategy of Amazon Music.

Our Teams

Imagine being a part of an agile team where your ideas have the potential to reach millions. Picture working on cutting-edge consumer-facing products, where every single team member is a critical voice in the decision-making process. Envision being able to leverage the resources of a Fortune-500 company within the atmosphere of a start-up. Welcome to Amazon Music, where ideas are born and come to life as Amazon Music Unlimited, Prime Music, and so much more. Amazon Music offerings are available in countries around the world, and our applications support our mission of delivering music to customers in new and exciting ways that enhance their day-to-day lives.

Our Amazon Music ML teams in Berlin focus on optimizing the music experience for the unique taste and listening situation of our customers. We help our customers discover up-and-coming artists, while also having access to their favorite established musicians. Our Tier-1 services are distributed on a large scale, integrated with our music apps, web player, and voice-forward audio engagement on mobile and Amazon Echo devices, powered by Alexa, to support our customer base. We collaborate with teams in Seattle and San Francisco to push the envelope on using data science for music recommendation and personalization.

PREFERRED QUALIFICATIONS

· PhD in Mathematics, Computer Sciences, Statistics or another quantitative field
· Experience in the personalization or recommendation domain
· 5+ years of industrial experience in data science or similar function
· Experience in handling gigabyte and terabyte size datasets
· Entrepreneurial spirit combined with strong problem solving skills.
· Strong communication and data presentation skills

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Desired profile

BASIC QUALIFICATIONS

· Graduate degree (MS) in Computer Sciences, Mathematics, Statistics or other quantitative field
· 3+ years of industrial experience in data science or similar function
· Proficient in Python, R, Ruby, or similar scripting language
· Experience handling gigabyte and terabyte size datasets