COMPLETE Senior Applied Scientist , Retail Pricing Science and Research - Seattle

Job Description

Retail Pricing Science and Research is a team of economists and ML scientists who design and implement the analytics powering pricing for Amazon’s on-line retail business.
We are seeking experienced Senior Applied Scientists to develop innovative pricing, promotions, and demand models that adapt to constantly shifting marketplace dynamics, all while scaling to hundreds of millions of products globally.


Key job responsibilities
- You will partner with scientists, economists, engineers, and product leaders to break down complex pricing challenges, identify key requirements, innovate, design, and deploy appropriate scientific solutions, and successfully drive the creation of positive customer and business impact

- You translate business objectives into specific quantitative approaches that can be solved with the vast amount of available Amazon data

- You identify and propose new long term science initiatives, and lead planning and funding discussions with senior leadership

- You are passionate about people, and will act as a mentor and guide for other scientists in Pricing

- You have written and verbal communications skills to convey complicated process and systems to business partners and senior leadership with varying level of technical sophistication


About the team
Our team uses world-class analytics to make sure that the prices for all of Amazon’s goods and services are aligned with Amazon’s corporate goals. Our projects are at the intersection of economic theory, statistical inference, machine learning, and optimization theory. We tackle important and, often, ambiguous research questions with direct impact in Amazon pricing strategies. Our team members have the opportunity to present their research and proposals to the senior executive leaders, usually cross organizations.

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA, USA

Basic Qualifications:

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

Preferred Qualifications:

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $260,000/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 https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.