The role requires deep knowledge in designing, planning, testing and deploying analytics solutions including the following:
Natural Language Processing (NLP), Linguistics, Advanced Semantic Design, Information Extraction, Information Retrieval, Probabilistic Decision Making, image recognition, deep learning, Machine Learning, cognitive science and analytics
Proven experience implementing and deploying advanced statistical solutions using R/Python.
Knowledge of full application life cycle design tools and methodologies
Apply machine learning algorithms, statistical data analysis, computational linguistics, and similar tools to find useful patterns in data collections.
Measure, interpret, and derive learnings from results of analysis that will lead to improvements in underlying customer business processes, products or services.
Strong mathematical background with strong knowledge in at least one of the following fields: Cognitive Science, Advanced Semantic Design, Information Extraction, Information Retrieval, Probabilistic Decision Making, image recognition, deep learning
Experience leading project teams and people as well as executing independently
Excellent verbal and written communication skills with the ability to work with diverse teams in a highly matrixed environment
Excellent understanding of Analytics concepts and methodologies including machine learning (unsupervised and supervised)
Hand on in handling large amounts of structured and unstructured data.
Understanding of IBM Watson is added advantage, Experience with machine learning algorithms and data mining techniques
Knowledge of RDBMS & Business Intelligence solutions preferred
Iris Software is a professional software services organization offering high-quality... solutions to businesses. It services the information technology requirements of companies ranging from the Fortune 100 to medium-sized firms by utilizing specialized domain knowledge, best-of-breed technologies, rapidly deployable proprietary frameworks/solutions and flexible engagement models. Read full description