Amazon Music is awash in data and data will fuel our organizations growth. To enable this, the Music Data Quality team ensures the quality of our largest and most important dataset, behavioral events. They build prevention, detection, mitigation, and recovery capabilities in our real time and batch data services. This is a new cross-functional team which will use analysis, data science, data engineering, and services to drive significant business impact. Our goal is to empower all teams at Amazon Music to make high confidence data driven strategic decisions, effectively measure results of feature launches, and improve capabilities in automated product features decision making (like ML).
If you love the challenges that come with big data and relish data science modeling and anomoly detection problems then this role is for you. We collect billions of events a day, manage petabyte scale data on Redshift and S3, and develop data pipelines using Spark/Scala EMR, SQL based ETL, and Java services.
You are a talented, enthusiastic, and detail-oriented Manager in Data Engineering, Data Science, Business Intelligence, or Software Development who wants to take on big data challenges in an agile way. Duties include hiring, developing, and managing a cross-functional team of high-performing data scientists, data engineers, and software engineers who manage the data quality of our most important behavioral dataset. You will manage projects with high impact to analyze anomalies and design detection capabilities, create automated mitigation of downs stream impacts, provide analysis and recovery tools, and increase the overall quality and availability SLAs of our behavioral data.
This role requires you to live at the cross section of data science and engineering. You have a deep understanding of data, analytical techniques, and statistical modeling or ML, and know how to connect insights to the business. You also have practical experience in insisting on the highest standards on operations in ETL and big data pipelines or services. With our Amazon Music Unlimited and Prime Music services, and our top music provider spot on the Alexa platform, providing high quality, high availability data to our internal customers is critical to our customer experiences.
In 2019 you will hire your team, build detection and mitigation capabilities, invest in modeling and anomoly detection, and work on automation and tooling for data quality. Your efforts will have direct impacts on our key stakeholders across Royalties, Personalization, ML, Search, and Marketing. This is a high visibility, high impact position.
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.
Everyone on our team has a meaningful impact on product features, new directions in music streaming, and customer engagement. We are looking for new team members across a variety of job functions including software engineering/development, marketing, design, ops and more. Come join us as we make history by launching exciting new projects in the coming year.
Our team is focused on building a personalized, curated, and seamless music experience. We want to help our customers discover up-and-coming artists, while also having access to their favorite established musicians. We build systems that are distributed on a large scale, spanning our music apps, web player, and voice-forward audio engagement on mobile and Amazon Echo devices, powered by Alexa to support our customer base. 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.
Come innovate with the Amazon Music team!
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