Sr. Applied Science Manager, Automated Negotiations, APM

The Automated Profitability Management (APM) team improves the long term success of Amazon Retail by driving lower costs, and unlocking new product selection. Our teams build software and machine learning models to optimize contract negotiations between Amazon and tens of thousands of vendors offering millions of products. We focus on product costs but also cover supply chain (Who pays the initial shipping costs?), marketing (Should a vendor fund advertising?), reverse-logistics (Who pays for damaged products? What about unsold inventory?) and more. Our mission is to provide to our customers the world’s largest product assortment at competitive prices, through long term partnership with our vendors.

We are looking for an Applied Science Senior Manager to lead the development of the science models that support the negotiation of purchase terms between Amazon and its vendors worldwide. You will manage teams of multi-disciplinary scientists and software engineers to design, build, and launch machine learning solutions to improve the efficiency of human negotiators and grow the share of fully automated negotiations. You will help the team create new negotiation workflows to reach agreements quicker, running experiments when necessary. To do so, you will work closely with product managers, retail category leaders, and other software engineering teams.


Key job responsibilities
· Set the vision for application of science modeling to business-to-business negotiations.
· Manage and develop teams of scientists and software engineers.
· Raise the technical bar across science and engineering work.
· Lead the design, prototype, and deployment of machine learning models to optimize contract negotiations with Amazon vendors.
· Manage a roadmap that balances short-term business impacts with long-term research projects.
· Collaborate with product managers, category leaders, and software developers to incorporate models into production processes and influence business outcomes.

Basic Qualifications

· M.S. or PhD in Statistics, Applied Mathematics, Operations Research, Economics, or a related field.
· 7+ years of professional experience in solving complex business problems with statistical and/or machine learning solutions
· 5+ years of experience managing or leading applied science teams
. Track record of hiring and developing employees in technical roles.
· Effective verbal and written communication skills with both technical and business audience.

Preferred Qualifications

· PhD in Statistics, Applied Mathematics, Operations Research, Economics, or a related field.
· 10+ years of professional experience in solving complex business problems with statistical and/or machine learning solutions.
· Hands-on experience with economic optimization.
· Meaningful scientific contributions in premier scientific journals and conferences.


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 $175,000/year in our lowest geographic market up to $340,300/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. Applicants should apply via our internal or external career site.