Senior Data Scientist

- 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
- 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

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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
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.