Description

Profit Intelligence (PI) team in Amazon , owning Amazon's core profitability prediction system, is looking for an ambitious Senior Applied Scientist to build the next generation of profitability science for Amazon.

As an AS II in PI, you will partner closely with science leadership, business stakeholders, applied scientists, economists, and engineers to solve key business problems that are at the core of economic prediction and cost optimization for Amazon, empowering downstream teams to make high-velocity, high-quality profitability decisions for both short term and long term. You will utilize massive data, state-of-the-art scientific computing, econometrics, time-series forecasting, and machine-learning, etc. to do so. Some of the science you create will be publishable in internal or external scientific journals and conferences. You will work closely with a team of economists, applied scientists, business analysts, data engineers, product managers, and software engineers. The team is unique in its exposure to company-wide strategies, and operates at the research frontier of utilizing data, machine-learning, artificial intelligence to inform business profitability strategies.



Key job responsibilities
1) Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Candidate should show a tracking record of delivering projects well and on-time, preferably in collaboration with other team members (e.g. co-authors).
2) Experiments and prototype implementations of new machine learning algorithms and prediction techniques, with a capacity for dealing with a high-level of ambiguity.
3) Partners with scientists, engineers, product managers, and stockholders to use data and model driven approach to influence business decisions
4) Influence the team to adopt cutting edge technologies and machine learning best practices to ensure a high standard of quality for all of the team deliverables