Operations Research Scientist (Network Optimization)

Job description

DESCRIPTION

Are you interested in applying your quantitative research, engineering development, and optimization skills to world-changing problems? Are you interested in driving the development of methods, models and systems for state-of-the-art robotics supply chain and fulfillment systems? If so, then this is the job for you.
Amazon's Global Fulfillment Services is responsible for the optimization of our current supply chain and designing future networks. We are looking for top research leaders in optimization and stochastic systems to work in cross-function teams to design, create and place into production new solutions as well as drive the development our future supply-chain infrastructure with strong focus on leveraging simulations and network optimization models for inventory planning and fulfillment.
You will be responsible for strategic planning and research initiatives involved with our inventory, fulfillment and transportation networks, including the means to efficiently transport shipments from vendors to our fulfillment centers, as well as from fulfillment centers to our customers. You will work closely with business stakeholders, research scientists, and IT groups in incorporating the essential trade-offs within the models and take an active role in effectively communicating the recommendations to senior management.

Desired profile

BASIC QUALIFICATIONS

- Ph.D. in Operations Research, Computer Science, Applied Mathematics or a related field.
- Experience writing scripts (Julia, Perl, Python, Ruby, Groovy) to manipulate data and developing software in traditional programming languages (C++, Java).
- Experience designing simulation and optimization models in for business decisions (e.g., staff/job scheduling, network routing, facility location) and/or feedback and model predictive control.
- Experience in designing/implementing online algorithms and approximation schemes for hard optimization problems addressing particular business needs (e.g. dynamic resource allocation problems for fulfillment center processes).
- Published at least 2 refereed academic papers in at least two areas (mathematical optimization and theoretical computer science, specifically linear programming, combinatorial optimization, integer programming, network flows, dynamic programming, approximation/online algorithms and machine learning,).