"Alerted.org

Description

Join Amazon's Middle Mile Science - Marketplace team as a Senior Applied Scientist to transform complex transportation problems into elegant mathematical solutions! Your expertise in ML, AI, and Operations Research will drive innovations in our global transportation marketplace, where you'll optimize systems handling millions of shipments daily. Lead impactful initiatives by combining advanced analytics with practical business solutions.

You'll work in a highly collaborative environment where your expertise in operations research, machine learning, and statistics will directly impact Amazon's transportation network efficiency. Our team specializes in solving unique challenges that require innovative mathematical approaches, giving you the opportunity to develop novel solutions in marketplace science.

If you're passionate about using mathematical modeling to solve complex business problems at scale, and want to work alongside talented scientists to shape the future of transportation logistics, we want to hear from you!

Key job responsibilities

- Transform ambiguous business problems into well-defined mathematical models using operations research techniques

- Architect end-to-end ML and optimization solutions

- Design and implement novel algorithms for pricing, fraud detection, and marketplace optimization

- Drive production implementation of your solutions, working closely with engineering teams

- Conduct large-scale experiments to validate new approaches and measure business impact

- Mentor junior scientists while collaborating with product managers and business stakeholders

- Present research findings and recommendations to senior leadership

Basic Qualifications

- 3+ years of building machine learning models or developing algorithms for business application experience

- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 5+ years of industry or academic research experience

- Knowledge of programming languages such as C/C++, Python, Java or Perl

- Experience in building machine learning models for business application

Preferred Qualifications

- PhD in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.

- Experience with neural deep learning methods and machine learning

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 $150,400/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 . This position will remain posted until filled. Applicants should apply via our internal or external career site.