Amazon
Senior Applied Scientist, Ad Measurements Science
$184K–$249K
New York, NY · Senior · Full-time · Posted May 4, 2026
- Experience
- 3+ years building machine learning models for business applications; alternatively, a PhD or a Master's degree and 6+ years of applied research experience.
- Education
- PhD, or Master's degree and 6+ years of applied research experience.
About the job
Develop and productionize ad measurement models that quantify advertising impact and provide actionable insights and AI-powered tools for advertisers.
What you'll do
- Lead scalable ad measurement model development and collaborate with engineering, product, and business teams to deploy solutions.
- Develop, test, and improve models using scientific methods to measure ad impact across platforms and timescales.
- Communicate scientific findings to business stakeholders and mentor junior scientists.
What they ask for
- 3+ years of experience building machine learning models for business applications.
- PhD, or Master's degree and 6+ years of applied research experience.
- Knowledge of programming languages such as C/C++, Python, Java, or Perl; programming experience in Java, C++, Python, or a related language.
- Experience with neural deep learning methods and machine learning.
Nice to have
- Experience with modeling tools such as R, scikit-learn, Spark MxNet, Tensorflow, numpy, or scipy.
- Experience with large-scale distributed systems such as Hadoop or Spark.
Pay
183,800.00 - 248,700.00 USD annually (base salary)
Tools
Generative AI, Classical Machine Learning, Causal Inference, Natural Language Processing, Computer Vision, Python, Java, Spark
AI focus
Develop AI tools that generate custom queries and reports from natural-language requests, alongside ad measurement models using Generative AI and machine learning.
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