Amazon Data Scientist II Inflow Capacity Optimization Operations Risk Compliance 

Luxembourg, Luxembourg 

452638954

Key job responsibilities
- Build state-of-the art, robust and scalable (Probabilistic) Forecasting and (Stochastic) Optimization solutions for optimal and risk-aware inflow and capacity planning in compliance
- Design and engineer algorithms using Cloud-based state-of-the art software development techniques
- Think multiple steps ahead and develop for long term solutions while continuously delivering incremental improvements
- Prototype fast, ensure early adoption via pilots, integrate feedback into the models, and iterate- Lead complex analysis and clearly communicate results and recommendations to leadership

- Master's degree in operations research, applied mathematics, theoretical computer science, or equivalent
- Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance
- Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
- Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2
- Experience diving into data to discover hidden patterns and of conducting error/deviation analysis
- 2+ years experience with Time-Series Probabilistic Forecasting models and Stochastic Optimization algorithms (e.g. Stochastic Linear Programming, Stochastic Dynamic Programming)
- Sharp analytical abilities, excellent written and verbal communication skills
- Ability to handle ambiguity and fast-paced environment

- PhD
- Experience in a ML or data scientist role with a large technology company
- Experience in patents or publications at top-tier peer-reviewed conferences or journals