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.
The Data, Insights, Science and Optimization, Consumer Product and Tech (DISCO CPT) team is looking for an Data Science Lead to join a team of Data Scientists, Analytics Leads, Business Intelligence Engineers and Data Engineers who analyze big data, provide analytics and insights as well as build models and algorithms that power product for personalized experiences. DISCO MPT team focuses on accelerating Amazon Music customer growth by empowering Product teams to make sound, customer-centric decisions through data and insights. We build data pipelines, science models, self-service analytics, insights and dashboards, deliver engagement and retention at scale. In this role, you will lead the analytics and insights efforts for one of the Amazon Music product teams. You will set the science and analytics roadmap and direction for the domain and work with stakeholders and partners to deliver experimentation insights, authoring white papers and models to advance our analytics and science offerings. The ideal candidate must be willing to effectively lead science solutions, prioritize across multiple stakeholders and projects and be ready to jump into a fast-paced, dynamic and fun environment.
Key job responsibilities
A Data Science Lead serving this role will act as thought partner to L8s of Product and Engineering organizations
Lead and drive Data Scientists on strategic growth areas: retention, voice + visual engagement, organization-wide experimentation, Gen AI initiatives, and product excellence.
Bridge science, analytics, and engineering to deliver solutions informing strategic decisions on AM technology investments and long-term business performance
Drive experimentation measurement efficiency tooling, and ROI tracking for AM leadership
Build and maintain customer segmentation models to understand streaming behaviors and its impact on key engagement/retention metrics
Develop structural and predictive models using data science workflows to deliver measurable customer results
A day in the life
Lead and mentor data scientists specializing in experimentation and customer analytics
Lead strategic relationships across music search, experimentation, music catalog 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
Conduct stakeholder meetings and present insights to senior leadership
Identify and resolve customer experience friction points with cross-functional teams
Drive adoption of best practices and innovative solutions across the organization
Basic Qualifications
5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
4+ years of data scientist experience
Experience with statistical models e.g. multinomial logistic regression
Preferred Qualifications
2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
Experience managing data pipelines
Experience as a leader and mentor on a data science team
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, Culver City - 159,200.00 - 215,300.00 USD annually
USA, CA, San Francisco - 183,000.00 - 247,600.00 USD annually
USA, CA, Sunnyvale - 183,000.00 - 247,600.00 USD annually
USA, WA, Seattle - 159,200.00 - 215,300.00 USD annually
