Data Scientist

Amazon.com Services LLC; Seattle (WA); On-site; USD 136,000 - 213,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Sign-on payments

Restricted stock units (RSUs)

Job summary

Amazon.com Services LLC in Seattle is seeking a Data Scientist for Amazon Music\'s DISCO M&G team to build models and data products that power identity, acquisition, and retention. You will collaborate with Marketing, Growth, Product, and Engineering to design experiments and measure impact that informs business decisions.

A Master\'s degree and at least two years of data science experience are required, with a salary range of USD 136,000 to 212,800 per year.

Qualifications

• At least two years of data science experience.
• Three or more years of experience with data querying languages (SQL), scripting languages (Python), or statistical/mathematical software (R, SAS, Matlab, etc.).
• Three or more years applying machine learning or statistical modeling techniques and evaluating their performance parameters.
• At least one year of experience with or evaluating AI systems.
• Education: Bachelor\'s degree with five or more years of relevant experience or Master\'s degree with two or more years of relevant experience.

Responsibilities

• Lead the research and development of models and science products that enable identity, acquisition, and retention strategies for Amazon Music.
• Collaborate with Marketing and Growth leadership to craft science-driven growth plans, including subscriber segmentation, lifecycle programs, and upsell initiatives.
• Develop predictive models such as propensity, uplift, and causal inference to support targeted marketing, quantify incremental impact, and automate deep-dive analyses into key metric variances.
• Work with product, engineering, and marketing teams to assess the impact of growth campaigns, features, and algorithmic interventions through rigorous experimentation.
• Interpret experiment results and deliver data-driven recommendations to optimize subscriber acquisition and retention outcomes.
• Partner with Senior Data Scientists and Product Managers to define, propose, and validate success and guardrail metrics for identity and growth programs.
• Educate marketing and growth teams on analytics, measurement frameworks, and experimentation best practices to foster evidence-based decision making.

Skills

Data science

SQL

Python

R

Statistical modeling

Education

Master's degree

Bachelor's degree with 5+ years

Tools

SAS

Matlab

Perl

Job description

Onsite in Seattle, WA, this Data Scientist role on Amazon Music's DISCO M&G team centers on building models and data products that power customer identity, acquisition, and retention. You will collaborate with Marketing, Growth, Product, and Engineering to design experiments and measure impact that informs business decisions. A Master’s degree and at least two years of data science experience are required, with a salary range of USD 136,000 to 212,800 per year.

Responsibilities

• Lead the research and development of models and science products that enable identity, acquisition, and retention strategies for Amazon Music.
• Collaborate with Marketing and Growth leadership to craft science-driven growth plans, including subscriber segmentation, lifecycle programs, and upsell initiatives.
• Develop predictive models such as propensity, uplift, and causal inference to support targeted marketing, quantify incremental impact, and automate deep-dive analyses into key metric variances.
• Work with product, engineering, and marketing teams to assess the impact of growth campaigns, features, and algorithmic interventions through rigorous experimentation.
• Interpret experiment results and deliver data-driven recommendations to optimize subscriber acquisition and retention outcomes.
• Partner with Senior Data Scientists and Product Managers to define, propose, and validate success and guardrail metrics for identity and growth programs.
• Educate marketing and growth teams on analytics, measurement frameworks, and experimentation best practices to foster evidence-based decision making.

Requirements

• At least two years of data science experience.
• Three or more years of experience with data querying languages (SQL), scripting languages (Python), or statistical/mathematical software (R, SAS, Matlab, etc.).
• Three or more years applying machine learning or statistical modeling techniques and evaluating their performance parameters.
• At least one year of experience with or evaluating AI systems.
• Experience translating theoretical models into practical, applied contexts.
• Education: Bachelor\'s degree with five or more years of relevant experience or Master\'s degree with two or more years of relevant experience.

Technologies

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

Benefits

• Health insurance
• 401(k) matching
• Paid time off
• Parental leave
• Sign-on payments
• Restricted stock units (RSUs)

About the team

The DISCO team accelerates Amazon Music's customer growth by equipping product teams with data and insights to make customer-centric decisions. We build data pipelines, self-service analytics, and predictive models that enable acquisition, engagement, and retention at scale, delivering personalized experiences across touchpoints.