Senior Machine Learning Scientist (Ads incrementality) - Tokyo

Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. In this role, you'll measure ads incrementality on different type of traffic, creative, users, and also improve campaign efficiency on combination having good incrementality by machine learning model and AI automation.

Responsibilities

Leverage scientific methods to improve ads measurement; Drive online experiments to continuously improve ads effectiveness; Own the project independently; Partner with product stakeholder, backend and frontend to provide measurement solution for our customers

Requirements

Master’s or PhD’s degree in Computer Science, Machine Learning, Statistics, Econometrics, or related field; 3+ years of industry experience on causal inference, incrementality, marketing mix modeling or other measurement solutions on digital Ads related fields, and understand the assumption and difference across methods; Proficiency in Python and SQL experience with modern ML frameworks (PyTorch, TensorFlow, etc.); Strong ownership and collaboration skills; Fluent in English or Chinese

Benefits

Visa sponsorship