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# Machine Learning Scientist, Advertising Incrementality

- **Company:** Greenhouse Software, Inc.
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Python (Programming Language), Machine Learning, Tensorflow, SQL Databases, Pytorch, Deep Learning, Backend, Information Technology, Front End Software Development, Cloud Optimization
- **Published:** August 19, 2026
- **Apply:** https://job-boards.greenhouse.io/appier/jobs/7364432

## About the Role

* 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.

## Description

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. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery.

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.

What You'll Work On

 * 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.


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