Senior Machine Learning Scientist, Advertising Incrementality
- Pay
- Not listed
- Posted
- 12 months ago
In short
Senior Machine Learning Scientist on the Advertising Cloud Optimization team, focusing on measuring ads incrementality across traffic, creatives, and users, and improving campaign efficiency using machine learning and AI automation. Responsibilities include leveraging scientific methods to improve ad measurement, driving online experiments, independently owning projects, and partnering with product and engineering stakeholders. The role requires a Master's or PhD in Computer Science, Machine Learning, Statistics, Econometrics, or a related field, along with 3+ years of industry experience in causal inference, incrementality, marketing mix modeling, or digital ad measurement, plus proficiency in Python, SQL, and modern ML frameworks like PyTorch and TensorFlow.
About the role
About Appier
Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.
The Impact You’ll Make at Appier
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.
What We’re Looking For
- 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.
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