- Analyze large, complex, multi-dimensional data sets with a variety of analytic methods (math, statistics, machine learning, etc.) and software tools (e.g. scripting in Python, R)
- Select model type, algorithms and features to optimize the accuracy of prediction/decision
- Build, evaluate, and evolve machine learning models and advanced analytics as new data is available, interpretation accuracy is scored, and usage broaden and adapts
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5+ years’ experience in data science field
- Proven experience with advanced analytic methods, from mathematics, statistical modeling to machine learning methods
- Ability to absorb broad ideas and break down into meaningful minimum value product deliveries
- Proficiency in at least one programming language for prototyping (Python, R, Scala, …)
- Understanding and experience working with Cloud infrastructure: Azure, containers, orchestration
- Familiar with databases technologies, big data visualization tools, and query languages
- Great communication skills (English written and verbal)
- MS mandatory, PhD preferred