Sr. Research Science Manager, Price Perception and Evaluation

Amazons Price Perception and Evaluation team is seeking a driven Principal Applied Scientist to harness planet scale multi-modal datasets and navigate a continuously evolving competitor landscape in order to build and scale an advanced self-learning scientific price estimation and product understanding system regularly generating fresh customer-relevant prices on billions of Amazon and Third Party Seller products worldwide.

We are looking for a talented organized and customer-focused technical leader with a charter to derive deep neural product relationships quantify substitution and complementarity effects and publish trust-preserving probabilistic price ranges on all products listed on Amazon.

This role requires an individual with excellent scientific modeling and system design skills bar-raising business acumen and an entrepreneurial spirit. We are looking for an experienced leader who is a self-starter comfortable with ambiguity demonstrates strong attention to detail and has the ability to work in a fast-paced and ever-changing environment.

Key job responsibilities
- Develop the team. Mentor a highly talented group of applied machine learning scientists & researchers.
- See the big picture. Shape long term vision for Amazons science-based competitive perception-preserving pricing techniques
- Build strong collaborations. Partner with product engineering and science teams within Pricing & Promotions to deploy machine learning price estimation and error correction solutions at Amazon scale
- Stay informed. Establish mechanisms to stay up to date on latest scientific advancements in machine learning neural networks natural language processing probabilistic forecasting and multi-objective optimization techniques. Identify opportunities to apply them to relevant Pricing & Promotions business problems
- Keep innovating for our customers. Foster an environment that promotes rapid experimentation continuous learning and incremental value delivery.
- Deliver Impact. Develop Deploy and Scale Amazons next generation foundational price estimation and understanding system

- 5 years of hands-on predictive modeling and large data analysis experience
- PhD in Electrical Engineering Computer Science Mathematics or a related technical field
- 5 years of hands-on work in predictive modeling and analysis experience
- Experience translating customer needs into business requirements
- Experience with programming languages such as Python Java C
- Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track

- 10 years of relevant work in industry or academia experience
- Knowledge of data structures algorithm design statistics and system design
- Experience creating novel algorithms and advancing the state of the art
- Have peer-reviewed scientific contributions in premier journals and conferences

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $187500/year in our lowest geographic market up to $324100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.