Applied Scientist II, Advertising Incrementality Measurement

About the Role

Key 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.
• Collaborate with engineering and science teams to design, implement, prototype, deploy, and maintain large-scale causal ML models.
• Conduct in-depth research and analysis of advertising-related datasets, including large real-world experimental data, to understand advertiser behavior, identify model improvement opportunities, and recognize limitations.
• Define data quality standards for understanding typical behavior, capturing outliers, and detecting model performance issues.
• Work with product stakeholders to improve measurement of advertising effectiveness for customers.

Requirements

• 3+ years of experience building models for business applications.
• PhD or Master's degree with 4+ years of experience in CS, CE, ML, or related fields.
• Experience programming in Java, C++, Python, or related languages.
• 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, capable of distilling complex technical details into insights for stakeholders.

Nice to Have

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

Qualifications

• Bachelor's degree or higher in CS, CE, ML, or related fields.
• Experience with programming languages such as Java, C++, Python.
• Experience with ML frameworks and data querying tools.

Benefits & Perks

• Competitive salary ranging from $136,000/year to $223,400/year depending on geographic location and experience.
• Total compensation package including equity, sign-on payments, and other benefits.
• Medical, financial, and other benefits as part of Amazon's total compensation offering.
• Workplace accommodations and adjustments available for applicants with disabilities.