Sr. Data Scientist, Amazon Publisher Cloud

Amazon Science
New York, New York, United StatesFull-time$175,100–$236,900Posted Aug 29, 2026

About the role

Description

We are seeking a Sr. Data Scientist, to join Amazon Publisher Cloud (APC) team. APC is a game-changing new service, that operates at the intersection of advertising, secure signal collaboration, and cloud services. In this role you will be a key member of an entrepreneurial team tackling some of the most exciting and complex opportunities in digital advertising.

The ideal candidate will have deep curiosity and creativity to build data science based solutions. Should demonstrate ability to incorporate latest tech, tools, and methodologies like generate AI and LLMs to enhance our product offerings. Lastly, have experience and comfort working with product, engineering, and Data Science peers within and across teams.

Key job responsibilities

In this role, you'll develop sophisticated methodologies and models that enable secure data collaboration between publishers and advertisers while maintaining privacy and data governance standards.

Design and implement experimental frameworks to validate Clean Room collaboration methodologies and measure their effectiveness

Develop statistical models and algorithms that power privacy-preserving data analysis capabilities

Lead end-to-end analysis projects to derive actionable insights from cross-party data collaborations

Partner with product teams to translate business requirements into technical solutions

Create reproducible analysis frameworks and documentation

A day in the life

Meet with Product Managers to scope requirements for a new cross-publisher audience overlap analysis feature

Write and test code for a new measurement methodology that enables stakeholders to understand campaign effectiveness while preserving user privacy

Design and document statistical approaches for a new clean room collaboration use case

Conduct deep-dive analyses and run experiments to validate new methodologies against industry standards

Present findings and recommendations to leadership and stakeholders

Contribute to the team's technical roadmap and architecture decisions

About The Team

APC Team comprises of smart, skilled, and driven professionals across leadership, product, engineering, data science, business development, and customer success function. We sit within Amazon Publisher Services (APS) business, which helps digital publishers around the world build and grow thriving businesses. We provide services and advanced technologies to web, mobile app and advanced TV publishers of all sizes, including many of comScore’s global top 100, to help them monetize their content with demand from multiple programmatic buyers.

Basic Qualifications

5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience

4+ years of data scientist experience

Bachelor's degree

Experience with statistical models e.g. multinomial logistic regression

Preferred Qualifications

2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience

Experience managing data pipelines

Experience as a leader and mentor on a data science team

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, NY, New York - 175,100.00 - 236,900.00 USD annually

Responsibilities

  • Develop sophisticated methodologies and models for secure data collaboration
  • Design and implement experimental frameworks for Clean Room collaboration
  • Develop statistical models for privacy-preserving data analysis
  • Lead end-to-end analysis projects for actionable insights
  • Partner with product teams to translate business requirements into technical solutions
  • Create reproducible analysis frameworks and documentation

Qualifications

  • 5+ years of data querying languages experience
  • 4+ years of data scientist experience
  • Bachelor's degree
  • Experience with statistical models

Benefits

  • Health insurance (medical, dental, vision)
  • 401(k) matching
  • Paid time off
  • Parental leave

Skills mentioned

PythonSQLRData ScienceStatistical ModelingData VisualizationTableauData PipelinesGenerative AILarge Language Models

About Amazon Science

Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work. Follow us on LinkedIn and visit our website to get a deep dive on innovation at Amazon, and explore the many ways you can engage with our scientific community. #AmazonScience

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