Amazon.com - Bellevue, WA

posted 2 days ago

Full-time - Senior
Bellevue, WA
General Merchandise Retailers

About the position

The Fulfillment by Amazon (FBA) and Supply Chain by Amazon (SCA) enable third-party sellers to use Amazon's world-class science and logistics infrastructure to supply and fulfill customers world-wide with unprecedented fast delivery promise to customer. In doing so, sellers spend more time building great products, delight customers and grow their business. The FBA team is looking for a passionate, curious, and creative Principal Research Scientist with expertise in operations research, machine learning or statistics, along with a proven record of solving business problems through scalable modeling and analytical skills. As a lead research scientist in the team, you will be responsible for designing and implementing cutting edge optimization and ML models, building automated inventory, logistics and revenue management systems while collaborating with business and software teams to solve key challenges facing the worldwide FBA business. Such challenges include 1) designing end-to-end supply and demand management systems, ranging from capacity, inventory, and workforce management systems, 2) developing and improving optimization and ML models to help FBA sellers grow their business, 3) ensuring that worldwide Amazon customers have access to the largest selection of products through FBA sellers, and 4) driving out costs across end-to-end FBA supply chain. Unlike many companies who buy existing off-the-shelf planning systems, we design and build systems to suit Amazon's particular needs. Our team members are on the forefront of supply chain thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, research scientists, statisticians, economists and software developers in the business. We value individuals who exhibit deep technical proficiency, a desire for learning new areas, and a track record of delivering tangible results while fostering personal growth, team development, and career advancement.

Responsibilities

  • Design and implement cutting edge optimization and ML models.
  • Build automated inventory, logistics and revenue management systems.
  • Collaborate with business and software teams to solve key challenges facing the worldwide FBA business.
  • Design end-to-end supply and demand management systems.
  • Develop and improve optimization and ML models to help FBA sellers grow their business.
  • Ensure worldwide Amazon customers have access to the largest selection of products through FBA sellers.
  • Drive out costs across end-to-end FBA supply chain.

Requirements

  • Ph.D. in Operations Research, Machine Learning, Statistics, Computer Science, Applied Mathematics, Operations Management, Industrial Engineering, Economics or a related field.
  • 7+ years of experience in solving complex problems in the area of operations research, statistics or machine learning.
  • Experience in developing strategies for large-scale supply chain, transportation and logistic networks.
  • Ability to perform quantitative, economic, and numerical analyses of large-scale systems under uncertainty using statistical and optimization tools such as Python, R and XPRESS.
  • Fluency in using mathematical optimization or machine learning, including algorithm design, continuous and discrete optimization, stochastic analysis, supervised and unsupervised machine learning methods, and deep learning.
  • Proficiency working with Python, SQL and/or C/C++.
  • Excellent written and verbal communication skills.

Nice-to-haves

  • 10+ years of hands-on experience in using models to solve complex real-world business problems.
  • Experience in supply chains, transportation and logistics models.
  • Significant peer-reviewed scientific contributions in premier journals and conferences.
  • Programming experience using at least one modern programming language such as Python, Java, or C++.
  • Proficiency in development, validation and implementation optimization or machine learning models for large-scale applications.
  • Superior verbal and written communication and presentation skills.
  • Proven ability to work effectively in a cross-functional team.

Benefits

  • Full range of medical, financial, and/or other benefits.
  • Equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package.
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