Amazon's Pricing and Promotions Science is seeking a strong Applied Scientist II for work on deep causal learning. This work provides business-critical insights into pricing strategies that are of interest to Amazon's most senior leaders.
We are looking for a talented, technically skilled scientist with a strong sense of ownership and drive to join the Impact Intelligence team. This team's charter is to build causal models that (a) provide entitlements of key business programs, and (b) generate trustworthy signals for use in a multitude of downstream ML systems that have visible impact on the customer experience worldwide.
Key job responsibilities
- Build scalable solutions. We operate on large-scale data to drive insights from complex environments.
- Approach with rigor. Due to the lack of ground truth inherent in causal questions, we expect our scientists to maintain high standards on the care put into their models.
- Stay current. We obsess over what resources we can use to iterate on our model designs, and we expect our scientists to stay up-to-date with the latest approaches to causal learning.
