AmazonPrincipal Research Scientist | MADS Science, Ads Science & Tech (ASAT)
Amazon is hiring a Principal Research Scientist | MADS Science, Ads Science & Tech (ASAT) in New York, United States. It pays $218k-$295k a year and Level rates it ; you can apply on Level.
AI in this role
Principal Research Scientist driving measurement and attribution analytics for advertising systems to optimize performance and inform roadmaps.
Key job responsibilities
- Analyze data trends regarding supply, optimization, ad load, and advertising mix effects that affect advertiser performance and contribute to achieving advertiser goals.
- Present papers to senior leaders on issues like feature development impact on identity recognition rates, and changes of ad selection systems to improve fill rate highlighting insights that will inform our business development and engineering roadmaps.
- Identify, standardize, and operationalize KPIs to effectively measure the performance of all systems involved in ad serving, and use trend insights to inform business priorities.
- Partner with engineering teams to define data logging requirements and getting these prioritized in engineering roadmaps.
- Validate financial models through analysis
- Develop and own ad revenue and supply intelligence analytics decks that provide ongoing deep-dives
A day in the life
The Measurement and Attribution science leader will work closely with business leaders and engineers on developing science and analytics framework for Ads performance measurement and attribution products and programs as well as common data architecture that will optimize our data logging at different grains, and will allow data interoperability from bid flow to optimization to campaign delivery and performance. There will be an emphasis on understanding the impact of shopper journeys to and from Amazon properties and their implication on product development. The candidate will then analyze the data and present papers and ongoing reports on actionable insights.
About the team
The Ads Science Product Team's Mission: Work alongside those who need product data to apply objective perspective and business logic to uncover insights, advise strategic decisions, and adjust to industry changes.
Basic qualifications
- Bachelor's degree
- 10+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- Experience with statistical models e.g. multinomial logistic regression
- 10+ years of data scientist experience
- 10+ years experience in advertising technology including experince of AI integration within the AdTech domain
Preferred qualifications
- Experience as a leader and mentor on a data science team
- PhD or Equivalent in relevant field Worked on Ads Auction based systems Understands the advertising landscape Amazon is an equal opportunities employer.
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 - 217,800.00 - 294,700.00 USD annually
USA, NY, New York - 208,300.00 - 281,800.00 USD annually
How we rate this
Principal Research Scientist | MADS Science, Ads Science & Tech (ASAT) at Amazon rates 50 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● 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. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where measurement and attribution was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where analytics was part of your work. What did you do?
- Tell me about a project where advertising technology was part of your work. What did you do?
- Tell me about a project where kpi standardization was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Measurement And Attribution, Data Analysis, Analytics, Advertising Technology, and Kpi Standardization. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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