Data Scientist, Amazon Music - DISCO

Amazon Music’s DISCO MPT team is hiring a Data Scientist to build and scale models and science products that improve personalization and customer growth.

Responsibilities

• Lead research and development of models and science products for personalized recommendations
• Partner with product leaders at Amazon Music to develop science-driven business strategies
• Collaborate with science, marketing, and product teams across Amazon Entertainment and subscription businesses
• Educate internal teams on analytics, insights, and measurement
• Develop models to identify drivers of key performance metrics and automate deep dives into variances
• Work with product and engineering teams to evaluate the impact of new features or algorithms (including Playlist Song Recommendation experiments)
• Analyze experiment results and provide recommendations to optimize solutions
• Partner with Senior Data Scientists and Product Managers to define success metrics and guardrail metrics
• Promote experimentation and advanced analytics across the organization

Requirements

• 2+ years of data scientist experience
• 3+ years of experience with data querying languages such as SQL, scripting languages such as Python, or statistical/mathematical software such as R, SAS, Matlab, etc.
• 3+ years of experience with machine learning/statistical modeling data analysis tools and techniques, including parameters that affect performance
• 1+ years of guiding and coaching a group of researchers
• 1+ years of working with or evaluating AI systems
• 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content
• Master’s degree in STEM (Science, Technology, Engineering, or Mathematics), or equivalent STEM experience
• Experience applying theoretical models in an applied environment

Preferred Qualifications

• Ph.D. in STEM
• Knowledge of machine learning concepts and their application to reasoning and problem-solving
• Experience in Python, Perl, or another scripting language
• Experience in an ML or data scientist role at a large technology company
• Experience defining and creating benchmarks for assessing GenAI model performance
• Experience working on multi-team, cross-disciplinary projects
• Experience applying quantitative analysis to business problems and data-driven decisions
• Experience communicating complex concepts through written and verbal communication

Technologies

• SQL
• Python
• R
• SAS
• Matlab
• Perl

Location and Salary

• Location: Seattle, WA (onsite)
• Base salary range: USD 136,000 - 184,000 per yearly

Team Overview

• DISCO focuses on accelerating Amazon Music customer growth by enabling product teams to make sound, customer-centric decisions using data and insights
• Builds data pipelines, self-service analytics, insights, and predictive models for acquisition, engagement, and retention at scale through personalized customer touchpoints

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D, 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
• Parental leave

Los Angeles County Applicants

• Job duties include working safely and cooperatively, adhering to standards of excellence despite stressful conditions, communicating effectively and respectfully to ensure exceptional customer service, and following federal, state, and local laws and Company policies
• Criminal history may have a direct, adverse, and negative relationship with some job duties
• Pursuant to the Los Angeles County Fair Chance Ordinance, qualified applicants with arrest and conviction records will be considered

San Francisco Fair Chance Ordinance

• Pursuant to the San Francisco Fair Chance Ordinance, qualified applicants with arrest and conviction records will be considered

Inclusive Culture

• If you have a disability and need workplace accommodation or adjustment during the application and hiring process (including interview or onboarding support), visit https://amazon.jobs/content/en/how-we-hire/accommodations
• If the country or region you’re applying in isn’t listed, contact your Recruiting Partner