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Amazon.com Services LLC

Data Scientist, Amazon Music - DISCO

seattle, WA

Check who can apply and the requirements below before continuing.

About this opportunity

Amazon.com Services LLC lists this Data Scientist, Amazon Music - DISCO opportunity in seattle, Washington. Review the employer’s description below for duties, qualifications and application requirements.

Job description

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

If the country or region you’re applying in isn’t listed, contact your Recruiting Partner

#J-18808-Ljbffr

Worksite address

seattle, WA, 98127, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.

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