mmPROS Surface Research Science seeks an exceptional Applied Scientist with expertise in optimization to optimize Amazon's middle mile transportation network, the backbone of its logistics operations. Your role will focus on building innovative optimization solutions to improve driver routing and procurement efficiency. Your work will directly impact millions of deliveries daily, optimizing one of the world's largest and most complex transportation networks. Your solutions will impact business decisions worth billions of dollars and improve the delivery experience for millions of customers.
Key job responsibilities
- Design and develop optimization models and algorithms to inform our hardest planning decisions.
- Implement models and algorithms in Amazon's production software.
- Lead and partner with product, engineering, and operations teams to drive modeling and technical design for complex business problems.
- Lead complex modeling and data analyses to aid management in making key business decisions and set new policies.
- Write documentation for scientific and business audiences.
About the team
This role is part of mmPROS Surface Research Science. Our mission is to build the most efficient and optimal transportation network on the planet, using our science and technology as our biggest advantage. We leverage technologies in optimization, operations research, and machine learning to grow our businesses and solve Amazon's unique logistical challenges.
You will operate as part of a team of innovative, experienced scientists working on optimization and machine learning. You will work in close collaboration with other scientists and with partners across product, software engineering, business intelligence, and operations. You will regularly interact with software engineering teams and business leadership.- PhD, or Master's degree and 4+ years of science, technology, engineering or related field experience
- 1+ years of programming in Java, C++, Python or related language experience
- Experience building machine learning models or developing algorithms for business application
- Experience with Gurobi, Xpress, CPLEX or similar mathematical programming solvers- PhD in Operations Research, Transportation Science, or Electrical Engineering
- Experience with advanced mathematical programming techniques such as column generation, cut generation, Benders decomposition
- Experience with local search techniques such as genetic algorithms and iterative local search
- Experience implementing high-performance algorithms such as shortest paths, network flow algorithms, or local search algorithms
- Experience with supervised machine learning techniques such as LightGBM, XGBoost, or deep learning
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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 $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
https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
