Data Scientist

CHARLOTTE North Carolina The DCRS Inbound Correspondence team is looking for a Data Scientist who can be responsible for designing, building and maintaining document capture applications. The ideal candidate will have a solid background in software engineering with experience in building Machine Learning NLP Models and good familiarity with Gen AI Models. High Level Skills Required Primary - 7+ years' as Data Scientist or related roles Bachelors degree in Computer Science, or a related technical field Deep understanding and some exposure to new Gen AI Open-source Models At least 5 years programming experience in software development and Agile process At least 5 years Python (or equivalent) programming experience to work with ML/NLP models. Three (3) Days a week Resource must be on site Day 1 7+ years of experience as Data Scientist or related roles Bachelors degree in Computer Science, or a related technical field Deep understanding and some exposure to new Gen AI Open-source Models At least 5 years programming experience in software development and Agile process At least 5 years Python (or equivalent) programming experience to work with ML/NLP models. Experience in setting up supervised unsupervised learning ML/NLP models including data cleaning, data analytics, feature creation, model selection ensemble methods, performance metrics visualization Experience in ML/NLP development pipelines of large data sets, both structured unstructured At least 2 years experience in designing and developing enterprise-scale ML/NLP solutions in one or more of: Named Entity Recognition, Document Classification, Document Summarization, Topic Modelling, Dialog Systems, Sentiment Analysis, OCR text processing Knowledge and hands-on experience working with OCR products Masters degree in Computer Science/Data Science, or a related technical field Collaborating with a diverse set of partners and stakeholders from various Line of Business. Highly motivated, proactive and a self-starter; strong sense of ownership ability to create and execute plans without daily oversight Critical thinker; ability to analyze problems and identify issues and provide solutions Ability to navigate the enterprise data assets across multiple functions. Highly organized. Effectively prioritizes and balances multiple efforts in a fast-paced environment Excellent communication and Presentation skills Analytical abilities great problem solving Client focused