Data Scientist , Music DISCO

Amazon Science

San Francisco (CA)

On-site

USD 125,000 - 185,000

Full time

4 days ago

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Job summary

Amazon Music's DISCO CPT team seeks a Data Scientist to accelerate customer growth through advanced analytics, experimentation, and scalable models. You will collaborate with Product, Engineering, and BI to deliver insights and artifacts that power personalized experiences.

The role emphasizes leading science solutions across multiple stakeholders, building causal models, and delivering measurable improvements in engagement and retention at scale.

Qualifications

1+ years of data querying languages (e.g. SQL) and scripting languages (e.g. Python) experience.
2+ years of data/research scientist, statistician or quantitative analyst experience in an internet-based company with big data sources.
1+ years of creating or contributing to mathematical textbooks, research papers, or educational content.
Master's degree in Science, Technology, Engineering, or Mathematics (STEM) or equivalent experience in STEM.
Ph.D. in Science, Technology, Engineering, or Mathematics (STEM) is preferred.
Knowledge of statistical packages and business intelligence tools (SPSS, SAS, S‑PLUS, or R).
Knowledge of machine learning concepts and their application to reasoning and problem-solving.
Experience with clustered data processing (Hadoop, Spark, MapReduce, Hive).
Experience working with or evaluating AI systems.
Experience applying quantitative analysis to solve business problems and make data-driven decisions.

Responsibilities

Lead experimentation, measurement, and analytical modeling for product insights.
Develop structural and predictive models to drive user engagement and retention.
Bridge science, analytics, and engineering to inform product investments and strategy.
Partner with product managers to translate business questions into actionable science projects.
Influence product roadmaps with data-driven insights into customer behavior patterns.

Skills

SQL

Python

Matlab

SAS

Statistical analysis

Education

Master's degree in STEM

Ph.D. in STEM

Tools

Hadoop

Spark

MapReduce

Hive

SPSS

SAS

S-PLUS

Job description

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.

Description

The 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, 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. The 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 pioneer and execute advanced analytics and experimentation efforts for the Amazon Music product team. You will work with stakeholders and partners to deliver experimentation insights, author scientific artifacts, build scalable models to advance our analytics and science products. 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

Data Scientist I on this role will be a thought partner to Product and Engineering organizations through their expertise in experimentation, statistical modeling and advanced analytics
Conceptualize and drive strategic growth areas: app performance, stablity and latency 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 causal models to understand customer sentiment 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 strategic initiatives across visual and voice experiences, experimentation and customer retention stakeholders
Conduct experimentation, build causal models to better understand key drivers for customer retention
Evaluate existing metrics and lead deep dives to ensure the right measurement framework is leveraged to measure and enhance user adoption through visual and voice interfaces
Partner with product managers to translate business questions into actionable science projects
Influence product roadmaps through data‑driven insights on customer behavior patterns
Identify and resolve customer experience friction points with cross‑functional teams

Drive adoption of best practices and innovative solutions across the organization

Basic Qualifications

1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
2+ years of data/research scientist, statistician or quantitative analyst in an internet‑based company with complex and big data sources experience
1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)

Preferred Qualifications

Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S‑PLUS, or R
Knowledge of machine learning concepts and their application to reasoning and problem-solving
Experience with clustered data processing (e.g., Hadoop, Spark, Map‑reduce, and Hive)
Experience working with or evaluating AI systems
Experience applying quantitative analysis to solve business problems and making data‑driven business decisions
Experience effectively communicating complex concepts through written and verbal communication

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.