Data Scientist, Amazon Ads Marketing Decision Science

On Site Full TimeNew York, New York, United StatesAmazon

Role Overview

The Data Scientist will work in the Ads Marketing Decision Science team, building intelligent data-driven systems to analyze advertiser behavior and deliver personalized marketing experiences. The role requires strong fundamentals in machine learning, causal inference, and statistical modeling.

What You Will Do

The Data Scientist will build predictive models, design experiments, develop segmentation frameworks, and leverage GenAI capabilities to solve real advertiser problems. The role involves working end-to-end from proof-of-concept to production at scale.

Why It Might Be a Fit

The ideal candidate is passionate about solving real-world problems with next-level science and has experience in machine learning, causal inference, and statistical modeling.

Requirements

  • 1+ 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/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
  • Bachelor’s degree

Benefits

  • Base salary range: $119,200.00 – $178,400.00 USD annually
  • Sign-on payments
  • Restricted stock units (RSUs)
  • Comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave

To apply for this job please visit www.amazon.jobs.


You can apply to this job and others using your online resume. Click the link below to submit your online resume and email your application to this employer.

Tired of manual job applications?

JobCopilot auto-applies to thousands of RevOps and GTM roles on your behalf — so you can focus on interviews, not applications.

RevOps Careers Favicon

Get the latest RevOps jobs every Monday.

No noise. Just the best GTM roles, curated weekly.

We don’t spam! Read our privacy policy for more info.

Applying for this role?

Tailor your resume to this exact role — hiring managers notice the difference.

Latest articles on the blog

RECRUITERS!

Reduce the risk of your recruitment process (applicant quality, long and inefficient process) by selecting from a relevant pool of candidates.

POST A NEW JOB NOW!