Amazon Transportation Optimization Specialist
il y a 11 heures
Job Title: Amazon Transportation Optimization Specialist
About the Role:
We are seeking a highly skilled and experienced Transportation Optimization Specialist to join our team in Luxembourg. As a key member of the Research Science Team, you will be responsible for designing algorithmic solutions based on data and mathematics for optimizing the middle-mile Amazon Transportation Network.
About the Team:
The Research Science Team is a global science and tech team that develops cutting-edge optimization models for Amazon's middle mile network. We own the entire lifecycle of tech products from idea to production-use and deploy our tools on a worldwide basis. Our team consists of a wide variety of tech roles including scientists, data engineers, and business intelligence engineers.
Responsibilities:
- Design and prototype algorithmic solutions for standardized processes.
- Lead complex time-bound, long-term as well as ad-hoc transportation modeling analyses to help management in decision making.
- Communicate results from business analysis, strategies, and tactics to leadership.
- Partner with planning, linehaul/airhaul, and sort center operations teams while working closely with last-mile, supply chain, and global delivery departments for modeling and optimizing the transportation network.
Requirements:
To be successful in this role, you should have a PhD in Operations Research, Machine Learning, Statistics, Applied Mathematics, Engineering, Computer Science, or other field related to algorithms. You should also have excellent written and verbal communication skills and experience designing and implementing models and algorithms for combinatorial optimization problems, continuous optimization problems, predictive analytics, and prescriptive analytics.
Preferred Qualifications:
- Detailed knowledge of optimization methods including linear and mixed-integer programming, network modeling, constraint programming, approximation algorithms, and advanced heuristic techniques.
- Expertise on MIP strategies to customize and leverage commercial algorithms and adapt them as required.
- Detailed knowledge of forecasting techniques with time-series tools, including ARIMA models, exponential smoothing, LSTM, CNNs.
- Expertise on policy optimization techniques, including reinforcement learning, deep Q-learning, bandits, and online optimization.
- Experience collecting, processing, and combining big data with appropriate methodologies.
Salary: The estimated salary for this position is €120,000 - €180,000 per year, depending on your experience and qualifications.
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