Applied Scientists in CBA work collaboratively with other Scientists and Engineers across teams to build causal and machine learning models to support business decision making. You will contribute to and maintain a highly scalable data and modeling pipeline infrastructure, and also work closely with business stakeholders to translate requirements into ML and software products. We are looking for individuals with a strong interest in learning and researching new methodologies to maximize customer impact in a highly ambiguous and challenging problem space. Prior experience with building machine learning and AI systems is required, as is a solid understanding of the fundamentals of statistics and standard methods in ML and deep learning. Candidates should possess strong software engineering skills and several years of industry experience. Experience with distributed computing environments, AWS, Spark/PySpark, and prior domain experience in causal inference and experimentation is highly preferred.