Senior Applied Scientist, Optimal Sourcing Systems, Sourcing and Vendor Science

Amazon.com LLC; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

Amazon’s Strategic Sourcing team is actively seeking a Senior Applied Scientist to enhance inventory planning and supply chain solutions. This role involves leveraging expertise in operations research, machine learning, and statistical analysis to optimize the flow of goods, contributing to significant cost savings and efficiency improvements in supply chain management.

Benefits

Highly competitive salary

Growth opportunities

Creative work environment

Qualifications

• 5+ years of industry or academic research experience.
• Ability to convey complex mathematical results clearly.
• Experience with algorithms, numerical optimization, and data mining.

Responsibilities

• Develop solutions to optimize inventory flow in Amazon's network.
• Analyze opportunities to improve algorithms for supply chain optimization.
• Collaborate with cross-functional teams to solve complex supply chain problems.

Skills

Supply chain management

Optimization

Operations research

Machine learning

Reinforcement learning

Education

PhD in operations research, applied mathematics, or theoretical computer science

Tools

C

C++

Python

Java

Perl

Job description

Are you up to the task of delivering innovative solutions that manages a supply chain of millions of unique products involving hundreds of thousands of suppliers and tens of millions of customers around the world? Amazon’s Strategic Sourcing team is looking for Senior Applied Scientists to build Amazon’s next generation of inventory planning and supply chain solutions. We are part of Supply Chain Optimization Technologies (SCOT) :

Our systems use real time, large scale optimization techniques to automatically procure and source the product from suppliers and optimize the flow of goods across the supply chain to minimize the cost and lead time for customers. Our team is focused on saving hundreds of millions of dollars using science, machine learning, and scalable distributed software on the Cloud that automates and optimizes supply chain under the uncertainty of demand, pricing and supply. We are unique in that we’re simultaneously developing the science of supply chain planning and solving some of the toughest computational challenges at Amazon. Unlike many companies who buy existing off-the-shelf planning systems, we are responsible for studying, designing, and building systems to suit Amazon’s needs. Our team members have an opportunity to be 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 are seeking an experienced applied scientist specialized in Operations Research. Candidate will be responsible for developing solutions to better manage / optimize the flow of inventory in Amazon's network world wide. This position will focus on identifying and analyzing opportunities to improve existing algorithms and also on the next generation of Amazon’s inventory supply chain optimization systems. This position requires superior analytical thinkers, able to quickly approach large ambiguous problems and apply their technical and statistical knowledge to identify opportunities for further research. You should be able to independently mine and analyze data, and be able to use any necessary programming and statistical analysis software to do so. Successful candidates must thrive in fast-paced environments which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, and align research focuses with the Amazon’s strategic needs.

In joining our team, you'll enjoy a highly competitive salary, growth, working closely with smart engineers and researchers along with other benefits. We have a creative and comfortable work environment and this is your opportunity to be part of a fast-paced and growing technology team.

Key job responsibilities

Supply chain management, optimization, operations research, machine learning, reinforcement learning

BASIC QUALIFICATIONS

• PhD in operations research, applied mathematics, theoretical computer science, or equivalent
• 5+ years of industry or academic research experience
• Communication : Able to convey mathematical results in plain English, being able to clarify and formalize complex problems. Functional thought leader, sought after for key tech decisions.
• Knowledge of programming languages such as C / C++, Python, Java or Perl to prototype the research ideas
• 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 in building machine learning models for business application
• Research : Preferred research areas includes inventory optimization, supply chain management, and reinforcement learning. Other relevant areas of research are revenue management, pricing optimization, forecasting, applications of stochastic and approximate dynamic programming, applications of game theory to Supply chain management, decision analysis, system dynamics, and econometrics.
• Can successfully sell ideas to an executive level decision maker. Can present company-wide technical decisions to the internal technical community and represent the company effectively at technical conferences.

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.

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