Senior Applied Scientist, Retail Pricing Science And Research

DESCRIPTION We are seeking experienced Senior Applied Machine Learning Scientists to develop innovative ML solutions in anomaly detection with use cases of price error detection. Amazon retail pricing generates algorithmic prices for 100s of millions of products weekly and ensuring we publish error free and validated price is key to our core retail business.
Key job responsibilities
- You will partner with engineers, and product leaders to break down complex price error issues, identify key requirements, innovate, design, & deploy appropriate scientific solutions, and successfully drive the creation of positive customer and business impact
- You will summarize your research findings, and present via internal papers and science forms
- You are adept at translating business objectives into specific quantitative approaches that can be solved with the vast amount of available Amazon data
- You are passionate about the getting the science details right, while balancing the practical considerations of real world production models.
About the team
Retail pricing science is a centralized diverse team of STEM scientists that develop statistical, ML, RL, optimization and economic models that drive pricing for products sold by Amazon worldwide, as well as monitoring of prices and experimentations in pricing. The team has a dual focus on competitiveness and long term financial optimality.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA BASIC QUALIFICATIONS - PhD, or Master's degree and 10+ years of applied research experience
- 4+ years of applied research experience
- 4+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning