Amazon Senior Applied Scientist Digital Advertising 

United States, Washington, Seattle 

885423668

As a successful candidate, you will be passionate about building scalable systems. You'll be comfortable with ambiguity and have exceptional technical acumen. You'll be up to speed on the latest research, and capable of developing new techniques at the intersection of causal inference, reinforcement learning and quantitative marketing. You will lead other scientists by example, with crisp technical writing and frequent presentations.Key job responsibilities
- Build end-to-end causal machine learning solutions.
- Perform hands-on analysis and modeling with enormous data sets to better understand how advertising influences shopper behavior.
- Work closely with engineering to design systems that facilitate high velocity science exploration and quick prototype-to-prod timelines.
- Develop novel methods at the intersection of causal inference, machine learning and quantitative marketing.
- Present original research at internal and external conferences.

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.