Applied Scientist II, Advertising Incrementality Measurement at Amazon

Description

Application deadline: Dec 17, 2025

The Advertising Incrementality Measurement (AIM) team is looking for an Applied Scientist II with experience in causal inference, experimentation, and ML development to help us expand our causal modeling solutions for understanding advertising effectiveness. Our work is foundational to providing customer-facing experimentation tools, furthering internal research & development, and building out Amazon's new Multi-Touch Attribution (MTA) measurement offerings. Incrementality measurement is a lynchpin for the next generation of Amazon Advertising measurement solutions and this role will play a key role in the release and expansion of these offerings.

Key job responsibilities

• Partner with economists and senior team members to drive science improvements and implement technical solutions at the state-of-the-art of machine learning and econometrics
• Partner with engineering and other science collaborators to design, implement, prototype, deploy, and maintain large-scale causal ML models.
• Carry out in-depth research and analysis exploring advertising-related data sets, including large sets of real-world experimental data, to understand advertiser behavior, highlight model improvement opportunities, and understand shortcomings and limitations.
• Define data quality standards for understanding typical behavior, capturing outliers, and detecting model performance issues.
• Work with product stakeholders to help improve our ability to provide quality measurement of advertising effectiveness for our customers.
  
  

About The Team

AIM is a cross disciplinary team of engineers, product managers, economists, data scientists, and applied scientists with a charter to build scientifically-rigorous causal inference methodologies at scale. Our job is to help customers cut through the noise of the modern advertising landscape and understand what actions, behaviors, and strategies actually have a real, measurable impact on key outcomes. The data we produce becomes the effective ground truth for advertisers and partners making decisions affecting $10s to $100s of millions in advertising spend.

Basic Qualifications

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience programming in Java, C++, Python or related language
• Experience with ML modeling toolkits such as sklearn, PyTorch, Tensorflow, etc.
• Experience with data exploration and querying technologies such as pandas, SQL, and Spark.
• Very strong written communication skills. An ideal candidate needs to be able to distill complex technical details into tangible insights for leaders and stakeholders.
  
  

Preferred Qualifications

• Experience with causal inference, A/B testing, experimentation, etc.
• Experience with MLOps practices for developing models in a production setting.
• Experience with causal ML modeling (e.g. double machine learning, uplift modeling)
• Familiarity with AWS systems (e.g. S3, EMR, Sagemaker).
• Experience with statistical visualization (e.g. ggplot2, plotly, Seaborn).
• Experience with digital advertising is a bonus, but not required.
  
  

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. For salaried roles, your Amazon package will include listed 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/us-benefits-and-stock.

Colorado $142,800 - $193,200 annually

National $136,000 - $223,400 annually


Company - Amazon.com Services LLC

Job ID: A2906519