Senior Machine Learning Scientist, Advertising Incrementality

Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which develops core machine learning algorithms to enhance campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling millions of queries per second, all powered by proprietary deep learning models for bidding, pricing, and personalized content delivery.

In this role, you will measure ad incrementality across various traffic types, creatives, and user segments. You will also improve campaign efficiency by developing machine learning models and implementing AI automation to optimize combinations with high incrementality.

Key responsibilities include leveraging scientific methods to enhance ad measurement, driving online experiments to continuously improve ad effectiveness, independently managing projects, and collaborating with product stakeholders, backend, and frontend teams to provide measurement solutions for our customers.

The ideal candidate holds a Master's or PhD in Computer Science, Machine Learning, Statistics, Econometrics, or a related field. They should have over three years of industry experience in causal inference, incrementality, marketing mix modeling, or other measurement solutions in digital advertising, with a solid understanding of the assumptions and differences across methods. Proficiency in Python and SQL, along with experience in modern machine learning frameworks such as PyTorch or TensorFlow, is required. Strong ownership and collaboration skills are essential.

Appier offers a dynamic work environment with opportunities for professional growth and development. We are committed to fostering a culture of innovation and collaboration, providing our employees with the resources and support needed to excel in their roles.