Senior Applied Scientist, Amazon Stores Economics & Science; SEAS

Overview

Stores Economics and Science (SEAS) is an interdisciplinary science and engineering team in Amazon's Stores organization with a peak-jumping mission: we apply expertise in science and engineering to move from local to global optima in methods, models, and software. We pursue this mission by leveraging frontier science; collaborating with partner teams; and learning from the tools, experience, and perspective of others.

We scale by solving problems, first in the small to prove concepts, and then in the large by building scalable solutions. We also help other teams within Amazon scale by hiring and developing the best and embedding them in other business units.

We are a team of Applied Scientists, Research Scientists, and Economists collaborating to uncover, formulate, and solve big bet issues for broader Stores organization, including marketplace efficiency, seller incentive design, and inventory optimization. We are seeking to add another member to our team who thrives in inter-disciplinary, ambiguous, and high visibility environments.

• Lead large-scale science initiatives from research to production and translate complex business problems into mathematical frameworks.
• Design and implement large-scale optimization algorithms for complex supply chain and marketplace problems.
• Design incentive-compatible mechanisms for marketplace challenges including auction design, matching algorithms, and pricing strategies.
• Drive technical strategy and roadmap for complex initiatives, influencing senior stakeholders and shaping technical direction.
• Mentor 2-4 junior scientists and foster team growth, collaborating effectively across functions to deliver measurable business impact.

• PhD, or Master’s degree and 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.
• PhD in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field, or PhD and 5+ years of industry or academic research experience.
• Experience in at least one of the related science disciplines (optimization – LP, MIP, statistics, machine learning, process control, combinatorial optimization).
• Experience leading the design, build and deployment of complex and performant (reliable and scalable) software solutions in production.
• Ability to communicate complex concepts through written and verbal communication.

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensor Flow, Num Py, Sci Py, etc.
• Experience with large-scale distributed systems such as Hadoop, Spark, etc.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 (Use the "Apply for this Job" box below). for more information.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

• USA, CA, Mountain View: $ – $ USD annually
• USA, NY, New York: $ – $ USD annually
• USA, WA, Seattle: $ – $ USD annually