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Data Scientist/Machine Learning Engineer
- Establish a network of contacts to be able to solve tasks of any complexity.
- Research, design, and prototype robust and scalable models based on machine learning, data mining, and statistical modeling to answer key business problems.
- Build tools and support structures needed to analyze data, perform elements of data cleaning, feature selection, and feature engineering and organize experiments in conjunction with best practices.
- Present findings to stakeholders to drive improvements and solutions from concept through to delivery.
- Keep abreast of the latest developments in the field by continuous learning and proactively champion promising new methods relevant to the problems at hand.
- PhD in computer science, computer engineering or MS with 5+ years of experience in related field.
- Demonstrated history of driving and delivering analytics models and solutions.
- Deep knowledge of fundamentals of machine learning, data mining, and statistical predictive modeling, and extensive experience applying these methods to real-world problems.
- Strong skills in software prototyping and engineering with expertise in applicable programming and analytics languages (Python, R, C/C++) and various open source machine learning and analytics packages to generate deliverable modules and prototype demonstrations of their work.
- The breadth of skills and experience in machine learning - diverse types of data, diverse data sources, different types of learning models, diverse learning settings.
- Demonstrated ability to propose novel solutions to problems, performing experiments to show the feasibility of their solutions and working to refine the solutions into a real-world contex
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