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As an Applied Scientist, you will design, develop and deploy robust and scalable scientific solutions via Operations Research and Machine Learning algorithms, especially in the context of stochastic customer demand and other sources of uncertainty requiring to move past deterministic optimization. You will partner with other tech and science teams, operations, finance to identify opportunities to improve our processes in order to drive efficiency improvements in our Fulfillment Center network flows.Key job responsibilitiesDesign 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 to existing ones
Prototype fast, ensure early adoption via pilots, integrate feedback into the models, and iterateLead complex analysis and clearly communicate results and recommendations to leadership
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- 3+ years of building models for business application experience
- 2+ years experience with Stochastic Optimization techniques (e.g. Stochastic Linear Programming, Stochastic Dynamic Programming) and ML for Probabilistic Forecasting
- Sharp analytical abilities, excellent written and verbal communication skills
- Ability to handle ambiguity and fast-paced environment
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