Description

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.

Basic Qualifications

• 3+ years of building models for business application experience

• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience

• Experience in patents or publications at top-tier peer-reviewed conferences or journals

• Experience programming in Java, C++, Python or related language

• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

• Experience using Unix/Linux

• Experience in professional software development

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.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 $136,000/year in our lowest geographic market up to $223,400/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 . This position will remain posted until filled. Applicants should apply via our internal or external career site.