Sr. Data Scientist, Amazon Publisher Cloud

Amazon Inc.; New York (NY); Hybrid; USD 175,000 - 237,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon.com Services LLC is seeking a Sr. Data Scientist for the Amazon Publisher Cloud team, focusing on privacy-preserving data analysis and cross-publisher collaborations.

You will design experiments, build models, and lead analyses that translate business needs into technical solutions while partnering with product, engineering, and data science peers to drive impact. The role requires deep data science expertise, experience with multinomial logistic regression, and the ability to employ

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

Responsibilities

• 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

Skills

SQL

Python

R

SAS

Matlab

Education

Bachelor's degree

Tools

AWS QuickSight

Tableau

R Shiny

Job description

Sr. Data Scientist, Amazon Publisher Cloud

Job ID: 10510833 | Amazon.com Services LLC

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

• 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.