Jobs for People with MS: National MS Society

Description

As it strives to be Earth's most customer-centric company, Amazon has grown its Last Mile delivery network, accelerating customer delivery times and providing innovation to customers. Amazon’s Last Mile programs deliver to homes, businesses, Amazon Lockers, and even cars all over the world. This network is powered by thousands of small businesses and hundreds of thousands of drivers that leverage Amazon's technology to deliver millions of smiles to customers each day.

The Last Mile Economics Team draws from a wide range of technical skillsets in economics, statistics, machine learning, and operations research to develop innovative forecasting and optimization tools to help scale this exponentially growing logistics network. This role affords an opportunity to work on large, complex, and technically challenging problems, while directly contributing to driving an improved experience for Amazon customers and our delivery partners.

We are looking for candidates with strong skills in Optimization (Mixed Integer Programming, Dynamic Programming), as well as solid skills in Python coding and data collection and analysis. Some background in Machine Learning (Forecasting, Reinforcement Learning), and Economics would be helpful too.

The successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, and a desire to help shape the overall business.

Key job responsibilities

• Design and develop advanced mathematical, optimization models, apply them to define strategic and tactical needs, and drive the appropriate business and technical solutions in the areas of delivery planning, supply chain optimization, pricing, incentives, and capacity planning.

• Apply mathematical optimization and control techniques (linear, quadratic, SOCP, robust, stochastic, dynamic, mixed-integer programming, network flows, nonlinear, nonconvex programming, decomposition methods, model predictive control) and algorithms to design optimal or near optimal solution methodologies to be used by in-house decision support tools and software.

• Research, prototype, simulate, and experiment with these models by using modeling languages such as Python, MATLAB, Mosel or R; participate in the production level deployment.

• Create, enhance, and maintain technical documentation

• Present to other Scientists, Product, and Software Engineering teams, as well as Stakeholders.

• Lead project plans from a scientific perspective by managing product features, technical risks, milestones and launch plans.

• Influence organization's long-term roadmap and resourcing, onboard new technologies onto Science team's toolbox, mentor other Scientists.

Basic Qualifications

• PhD or equivalent Master's Degree plus 4+ years of experience in Operations Research, Industrial Engineering, Control Engineering, Computer Science, or Optimization related field

• Expertise in optimization: linear, non-linear, mixed-integer, large-scale, network, robust, stochastic, decomposition methods

• Expertise in building optimization models and implementing them on OR tools (e.g. XPRESS, Gurobi, CPLEX, etc)

• Expertise in validating and simulating math optimization models

• Experience programming in Python or related language

• Strong communication and documentation skills

• Understanding of basic forecasting methods

Preferred Qualifications

• Experience designing and supporting large-scale optimization systems in a production environment

• Experience with large data sets, big data and analytics

• Experience in forecasting, machine learning, control theory, and economics is a plus

• 1+ years of relevant development experience in Object-Oriented Design and Service Oriented Architecture

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 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.