Applied Scientist, Amazon Air
Há 3 dias
DESCRIPTION
Amazon is seeking an Applied Scientist to join the Air Science & Tech (AST) team. Join us to tackle exciting challenges and develop innovative solutions that drive meaningful financial impact This position will be based in Sao Paulo - SP (Brazil), 100% on-site work.
Key job responsibilities
Key job responsibilities
- Develop accurate and scalable optimization, mathematical programming, and heuristic methods to solve our AST network planning problems.
- Lead and partner with the engineering and operations teams to drive modeling and technical design for complex business problems in transportation.
- Lead complex modeling analyses to aid management in making key business decisions and set new policies.
- Enhance and maintain mathematical programming models to optimize hybrid transportation modes in the Amazon Fulfillment Network.
- Perform deep dives on plans, discussing with business teams potential risks and opportunities using data analysis.
BASIC QUALIFICATIONS
- Master's degree in Operations Research, Computer Science, Applied Mathematics or similar field.
- Detailed knowledge of applied optimization methods, specially mixed-integer programming and network flows.
- Expertise in building optimization models and implementing them on OR tools (e.g. CPLEX, Gurobi, XPRESS)
- Availability to travel (including international travels)
PREFERRED QUALIFICATIONS
- Expertise in validating and simulating math optimization model.
- Demonstrable work experience on optimization models that have been deployed into production systems (strategic, planning, and/or operational).
- Experience in the design and analysis of algorithms.
- Experience with writing database queries in query languages such as SQL.
- Experience with machine learning methods such as neural networks, support vector machines, decision tree models, or clustering methods.
- Our inclusive culture empowers Amazonians to deliver the best results for our customers. We not only celebrate the diversity of our workforce, we celebrate the diverse ways we work. If you would like to request an accommodation for the interview or onboarding process, please let our team know and we will connect you to our accommodation team.
Job details
- BRA, SP, Sao Paulo
- Machine Learning Science
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