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 adfree podcasts included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited ondemand 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 Alexaenabled devices. Join us for the opportunity to influence how Amazon Music engages fans artists and creators on a global scale. Learn more at Data Insights Science and Optimization Consumer Product and Tech (DISCO CPT) team is looking for a Data Scientist to join a team of Data Scientists Business Intelligence Engineers and Data Engineers who analyze big data provide analytics and insights as well as build models and algorithms that power the Music product experiences. DISCO CPT team focuses on accelerating Amazon Music customer growth by empowering Product teams to make sound customercentric decisions through data and insights. We build data pipelines selfservice analytics insights and predictive models enabling acquisition engagement and retention at scale with personalized customer touchpoints. In this role you will set the science vision and direction for the team and collaborate with internal stakeholders across product science and finance teams to scale and advance our science offerings. The ideal candidate must be willing to effectively lead large scale science solutions prioritize across multiple stakeholders and projects and be ready to jump into a fastpaced dynamic and fun environment.
Key job responsibilities
Key job responsibilities
Lead research and development of models and science products powering personalized recommendations
Partner with Product leaders at Amazon Music to develop sciencedriven business strategy
Partner with science marketing and product teams across Amazon entertainment and subscription businesses
Educate and evangelize across internal teams on analytics insights and measurement by writing whitepapers and knowledge documentation and delivering learning sessions.
Lead DISCO CPT science practice and provide coaching to a distributed team of scientists
* Develop models to determine drivers of key performance metrics like MAU and HPC and automate the process of deep diving into variances in these metrics
**Experimentation and A/B Testing:**
* Collaborate with product and engineering teams to design rigorous experiments to evaluate the impact of new features or algorithms (e.g. the Playlist Song Recommendation experiments).
* Analyze the results of these experiments identify learning and provide recommendations to optimize the solutions
* Partner with Sr. Data Scientists to analyze and propose key experimentation success and guardrail metrics for business
* Evangelize the use of experimentation and advanced analytics science across the organization
Bachelors degree
3 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc. experience
3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
2 years of data scientist experience
Experience applying theoretical models in an applied environment
Experience in Python Perl or another scripting language
Experience in a ML or data scientist role with a large technology company
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 Companys 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
for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125500/year in our lowest geographic market up to $212800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.