Hybrid, Data Scientist (Candidates Must Be Local to Addison, TX/Charlotte, NC) - Only W2

Data Scientist Candidates must be local to (Charlotte, NC & Addison, TX) Onsite/hybrid: (3 Days Onsite & 2 Days Remote in a Week) Years of Experience required: 7+ Yrs Must Have skills: AI/ML + Python Job Description • 7+ years of experience as Data Scientist or related roles • Bachelor’s 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 DESIRED SKILLS / EXPERIENCE • Master’s 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 “Taras Technology, LLC is an EEO/AA Employer: women, minorities, the disabled and veterans are encouraged to apply”