Data Scientist, Catalog

Job 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.

Amazon Music Catalog team is seeking a skilled and eager Data Scientist who will join a team of experts in the field of machine learning and work together to break new ground in the understanding of various forms of music assets while building useful applications that impact millions of end users' experience of listening to music. We work on various problems of data analytics, machine learning, signal processing, deep learning, LLMs and NLP, Fraud analytics and safety. You'll work in a collaborative environment where you can pursue applied research, with many peta-bytes of data, work on problems that haven't been solved before, quickly implement and deploy your algorithmic ideas at scale, understand whether they succeed via statistically relevant experiments across millions of customers, and publish your research. You'll see the work you do directly improve the experience of Amazon Music customers on Alexa/Echo, mobile, and web.

Key job responsibilities
- Use machine learning, deep learning, LLMs and NLP techniques to create scalable solutions for business problems
- Analyze and extract relevant information from large amounts of Amazon's data to help automate and optimize key processes
- Design, development and evaluation of highly innovative models for predictive learning
- Work closely with software engineering teams to drive model implementations and new feature creations
- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
- Research and implement novel machine learning and statistical approaches
- Build data engineering pipelines to help software developer teams to design and deploy features.

About the team
Our team is dynamic group of highly qualified scientists and engineers building the technology stack for the Amazon Music Catalog team. We work closely with product teams to deliver high value and high impact solutions that affect multiple other downstream teams like Search, Personalization, Recommendation, CRM and others.
We build solutions to real world problems at scale with speed, performance and deliver solutions quick to meet the demands of customers. Everyone on our team has a meaningful impact on product features, new directions in music streaming, and customer engagement.

BASIC QUALIFICATIONS
- Bachelor's degree
- Master's 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
- 2+ years of data scientist experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
- Experience programming in Java, C++, Python or related language

PREFERRED QUALIFICATIONS
- PhD
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
- Knowledge of LLMs, NLP and graph ML techniques is highly valued.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on 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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Jobcode: Reference SBJ-reepv8-18-191-123-154-42 in your application.