IBM
Introduction . Your Role and Responsibilities Strong problem solving skills with an emphasis on product installation, configuration and tuning. Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. Experience working with and creating data architectures. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques. Required Technical and Professional Expertise Machine learning methods and techniques Knowledge of statistical analysis and concepts, mathematics and data mining Experience in pattern recognition and predictive modeling Preferred Technical and Professional Expertise Experience with the IBM Watson product family (WKC, Watson Discovery, Watson Studio) Experience with programming languages like Java/Pyton J-18808-Ljbffr
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