Tech Stack

Description

You will measure ads incrementality across different traffic, creative, and user segments, and improve campaign efficiency using machine learning and AI automation. You'll leverage scientific methods to enhance ads measurement, drive online experiments, and own projects independently while partnering with product stakeholders and engineering teams to provide measurement solutions for customers.

Requirements

• Master's or PhD in Computer Science, Machine Learning, Statistics, Econometrics, or related field
• 3+ years industry experience in causal inference, incrementality, marketing mix modeling or digital ads measurement
• Proficiency in Python and SQL
• Experience with modern ML frameworks (PyTorch, TensorFlow, etc.)
• Strong ownership and collaboration skills

Responsibilities

• Measure ads incrementality on different types of traffic, creative, and users
• Improve campaign efficiency on combinations with good incrementality using ML and AI automation
• Leverage scientific methods to improve ads measurement
• Drive online experiments to continuously improve ads effectiveness
• Partner with product stakeholders, backend and frontend to provide measurement solutions for customers