Senior Machine Learning Scientist

Appier's Advertising Cloud Optimization team develops the core machine-learning algorithms that drive campaign efficiency and advertiser return on investment, on a programmatic advertising platform operating at very large scale. This Senior Machine Learning Scientist role focuses on advertising incrementality, meaning measurement of how much an ad actually changes user behaviour.

The scientist measures incrementality across different kinds of traffic, creatives and users, then uses machine-learning models and AI automation to improve campaign efficiency on the combinations that show good incrementality.

Applicants need a master's or PhD in computer science, machine learning, statistics, econometrics or a related field, plus three or more years of industry experience in causal inference, incrementality, marketing mix modeling or similar measurement in digital advertising, with an understanding of the assumptions behind each method. Python, SQL and modern ML frameworks such as PyTorch or TensorFlow are required, as are strong ownership and collaboration skills. Fluency in English or Chinese is required.