Applied Scientist II, Advertising Incrementality Measurement Job at Amazon in Bo

Applied Scientist II, Advertising Incrementality Measurement

Job ID: 2906519 | Amazon.com Services LLC

Application deadline: Dec 17, 2025

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

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&DD 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

Posted: September 8, 2025 (Updated 1 day ago)