Sr. Data Scientist, Amazon Publisher Cloud

Amazon is hiring a Sr. Data Scientist, Amazon Publisher Cloud in New York, United States. It pays $183k-$248k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this data scientist role is Little AI ●○○○: aI is not part of the work.
The listed pay starts 9% above the typical data scientist posting on Level.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

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.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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, CA, Palo Alto - 183,000.00 - 247,600.00 USD annually
USA, NY, New York - 175,100.00 - 236,900.00 USD annually

How we rate this

Sr. Data Scientist, Amazon Publisher Cloud at Amazon rates 13 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.