Amazon.com Services LLC

Data Science, Science, entertainment

DataScientist,AmazonMusic-DISCO

$136–184k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Scientist, Amazon Music - DISCO at Amazon.com Services LLC. Skills: Data science, Machine learning, Experimentation, Causal modeling. Pioneer advanced analytics. Execute advanced analytics”

What You'll Achieve.

Deliver measurable customer results

Industry & Context.

Data Science, Science, entertainment
Problems you'll solve

Problem-solving

What They're Looking For.

Must Have

Bachelor's degree, 2+ years of data scientist experience, 3+ years of data querying languages experience, 3+ years of scripting languages experience, 3+ years of statistical/mathematical software experience, 3+ years of machine learning/statistical modeling experience, Experience applying theoretical models

Nice to Have

Knowledge of machine learning concepts, Experience in Python, Experience in Perl, Experience in another scripting language, Experience defining GenAI model benchmarks, Experience creating GenAI model benchmarks, Experience applying quantitative analysis, PhD preferred

What You'll Do.

Pioneer advanced analytics

Execute advanced analytics

Pioneer experimentation efforts

Execute experimentation efforts

Work with stakeholders

Deliver experimentation insights

Author scientific artifacts

Build scalable models

Advance analytics products

Advance science products

Lead strategic initiatives

Conduct experimentation

Evaluate existing metrics

Partner with product managers

Translate business questions

Influence product roadmaps

Identify friction points

Resolve friction points

Drive adoption of best practices

Drive adoption of innovative solutions

How You'll Work.

Team & Collaboration

Product teams; Engineering organizations; Cross-functional teams

Full 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. 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

Free ATS check

Applying for this Data Scientist, Amazon Music - DISCO role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

ANONYMOUS · UNFILTERED

What do employees actually say about Amazon.com Services LLC?

Real rants from real employees. Read before you apply.

Read Company Rants →