Amazon's 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 Amazon's 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 Amazon's next generation foundational price estimation and understanding system
BASIC QUALIFICATIONS
5+ years of hands-on work in predictive modeling and analysis experiencePhD in Electrical Engineering, Computer Science, Mathematics, or a related technical fieldExperience working in predictive modeling and analysisExperience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectivesExperience programming in Java, C++, Python or related languageExperience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environmentPREFERRED QUALIFICATIONS
10+ years of relevant work in industry or academia experienceKnowledge of problem solving, algorithm design and complexity analysisExperience creating novel algorithms and advancing the state of the artHave peer-reviewed scientific contributions in premier journals and conferencesAmazon 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.