Data Science Manager, Amazon Music - DISCO

Amazon

Seattle, WA

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JOB DETAILS

LOCATION

Seattle, WA

POSTED

23 days ago

Description 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. Key job responsibilities * A Data Science Manager serving this role will act as thought partner to L8s of Product and Engineering organizations * Manage team of BIEs and Data Scientists leading strategic growth areas: retention, voice + visual engagement, organization-wide experimentation, Gen AI initiatives for customer sentiment analysis, and product excellence. * Bridge science, analytics, and engineering to deliver solutions informing strategic decisions on AM technology investments and long-term business performance * Lead experimentation program evolution, including culture enhancement, measurement efficiency tooling, and ROI tracking for AM leadership * Build and maintain customer segmentation models to understand streaming behaviors and forecast responses to personalization changes * Develop structural and predictive models using data science workflows to deliver measurable customer results A day in the life * Manage and develop data scientists specializing in experimentation and customer analytics * Lead strategic relationships across music voice + visual, retention, experimentation, Gen AI, and FPE initiatives * Conduct experimentation and hypothesis testing, build launch measurements, goal benchmarking, and forecasting * Develop science models for targeting and create operational reporting with anomaly detection for product health monitoring * Partner with product managers to translate business questions into actionable science projects * Influence product roadmaps through data-driven insights on customer behavior patterns * Provide hands-on leadership through daily stand-ups and sprint planning * Review code, data warehouse designs, and oversee ETL pipeline development * Monitor system performance and data quality metrics * Conduct stakeholder meetings and present insights to senior leadership * Design, build, and maintain real-time metrics, reports, analyses, and dashboards with full audit capabilities * Build interactive dashboards and reports using Amazon QuickSight * Identify and resolve customer experience friction points with cross-functional teams * Establish performance metrics and audit mechanisms to track team progress * Drive adoption of best practices and innovative solutions across the organization About the team The Data, Insights, Science and Optimization, Music Product & Technology (DISCO MPT) team is looking for a Manager Data Science to lead a team of Data Scientists, and Business Intelligence Engineers who analyze big data, provide analytics and insights as well as build models and build critical tools for experimentation. The DISCO MPT team enables the Music Product Technology organization to make data driven decisions that improve customer retention, engagement and experience on Amazon Music. We build and maintain automated self-service data solutions, data science models and deep dive difficult questions that provide actionable insights. We also enable measurement, personalization and experimentation by operating key data programs ranging from attribution pipelines to causal frameworks. In this role, you will set the vision and direction for the team and collaborate with internal stakeholders across marketing, growth, product, science and finance teams to scale and advance our science and analytics offerings. Basic Qualifications - 5+ years of building quantitative solutions as a scientist or science manager experience - 2+ years of scientists or machine learning engineers management experience - 5+ years of applying statistical models for large-scale application and building automated analytical systems experience - PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field - Knowledge of Python or R or other scripting language Preferred Qualifications - Experience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection) - Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your 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 & AD&D 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 https://amazon.jobs/en/benefits . USA, CA, San Francisco - 201,300.00 - 272,400.00 USD annually USA, WA, Seattle - 175,100.00 - 236,900.00 USD annually

About the Company

Amazon

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

COMPANY SIZE

10,000 employees or more

INDUSTRY

Other/Not Classified

FOUNDED

1994

WEBSITE

http://Amazon.com/militaryroles