Work and collaborate on advance analytics including new machine learning algorithms and their application; data mining; machine learning and deep learning) to automated document processing and downstream business intelligence. Lead and consult in full lifecycle implementation from requirements analysis, platform selection, technical architecture design, application design and development. Develop machine learning algorithms and statistical models for the document– processing platform. Curate, process, characterize, and manage business–critical data. Work with large datasets and relational databases. Develop platform components that support the processing and analysis of datasets using Python and Cloud environments. Use natural language processing systems: sentiment analysis, entity recognition, text summarization, and question answering. Develop platform components that support the processing and analysis of datasets. Develop customized solutions for customer specific use cases. Collaborate with the engineering team on solution integration and maintenance. Responsible for DynPro's software development best practices.

Bachelor's degree in Computer Science, Applied Mathematics, Statistics, Business Analytics, Computer Engineering or closely related field plus eight (8) years of experience in the job offered or related data science and analysis consultant/analyst occupations.

Must have experience with:

Machine learning algorithms

Natural learning processes

Python

NumPy, pandas, scikit–learn, matplotlib, PyTorch, NLTK, or spaCy.

Travel Required to various unanticipated locations throughout the US.