Applied Scientist II, Optimal Sourcing Systems, Optimal Sourcing Systems, Sourcing and Vendor S[...]

Amazon; Bellevue (WA); On-site; USD 136,000 - 224,000; Full time

Job summary

An established industry player is seeking a Senior Applied Scientist to innovate in supply chain optimization. This role involves developing cutting-edge inventory planning solutions that leverage machine learning and advanced algorithms. You will tackle complex challenges, collaborating with top-tier engineers and researchers to enhance efficiency across a global network. Join a dynamic team where your analytical skills will directly contribute to significant cost savings and operational excellence. This position offers a competitive salary and a creative work environment, perfect for those passionate about technology and problem-solving.

Benefits

Competitive Salary

Growth Opportunities

Medical Benefits

Equity Options

Flexible Work Environment

Qualifications

• Experience in patents or publications at top-tier conferences or journals.
• Strong programming skills in Java, C++, or Python are essential.

Responsibilities

• Develop solutions to optimize inventory flow in Amazon's network.
• Analyze opportunities to improve existing algorithms.

Skills

Algorithms and Data Structures

Numerical Optimization

Data Mining

Parallel and Distributed Computing

High-Performance Computing

Programming in Java

Programming in C++

Programming in Python

Education

PhD in Operations Research

PhD in Applied Mathematics

PhD in Theoretical Computer Science

Tools

Statistical Analysis Software

Job description

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

Job ID: 2949861 | Amazon.com Services LLC

Are you up to the task of delivering innovative solutions that manage 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): Learn more.

Our systems use real-time, large-scale optimization techniques to automatically procure and source products 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. The candidate will be responsible for developing solutions to better manage/optimize the flow of inventory in Amazon's network worldwide. 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 Amazon’s strategic needs.

In joining our team, you'll enjoy a highly competitive salary, growth opportunities, 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.

BASIC QUALIFICATIONS

• Experience in patents or publications at top-tier peer-reviewed conferences or journals.
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.
• Experience programming in Java, C++, Python or related languages.
• PhD in operations research, applied mathematics, theoretical computer science, or equivalent.

PREFERRED QUALIFICATIONS

• Experience in building machine learning models for business applications.
• Experience in auctions or mechanism design.
• Can successfully sell ideas to an executive-level decision maker and present company-wide technical decisions to the internal technical community and represent the company effectively at technical 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.

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 here 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 $136,000/year in our lowest geographic market up to $223,400/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 here. This position will remain posted until filled. Applicants should apply via our internal or external career site.