Data Scientist

Job Title: Data Scientist / Generative AI Specialist Location: Charlotte, NC (Onsite) Contract Position Overview We are seeking a highly motivated and results-driven Data Scientist with Generative AI expertise to join our growing team. This role requires a professional with a strong foundation in traditional Data Science, including statistical modeling, Machine Learning (ML), and Deep Learning (DL), while also possessing hands-on experience with modern Generative AI and Large Language Model (LLM) solutions. The ideal candidate will have excellent analytical and problem-solving skills, strong SQL expertise, and the ability to work independently with minimal supervision. This position is highly stakeholder-facing and requires someone who can translate business problems into scalable data-driven solutions. Key Responsibilities • Design, develop, and implement advanced Data Science solutions leveraging statistical modeling, Machine Learning, and Deep Learning techniques. • Build and evaluate Generative AI and LLM-based solutions to address business challenges and improve operational efficiency. • Analyze large and complex datasets using SQL across Oracle (On-Prem), GCP, and AWS environments. • Work closely with business stakeholders to understand requirements, define objectives, and deliver actionable insights. • Develop predictive models, perform feature engineering, and validate model performance using industry best practices. • Collaborate with Data Engineering and MLOps teams to support model deployment and operationalization activities. • Stay current with emerging advancements in AI, Machine Learning, and Generative AI technologies. Required Skills & Qualifications Primary Skills • Strong foundation in Data Science, including: • Statistical Modeling • Machine Learning Algorithms • Deep Learning Techniques • Hands-on experience with Generative AI, Large Language Models (LLMs), and AI-driven solution development. • Strong SQL expertise with the ability to analyze and manipulate data in: • Oracle (On-Premises) • Google Cloud Platform (GCP) • Amazon Web Services (AWS) • Ability to independently solve complex business problems with minimal guidance. • Strong communication, presentation, and stakeholder management skills. Secondary Skills • Understanding of MLOps concepts, workflows, and model lifecycle management. • Experience collaborating with MLOps teams for model deployment and monitoring activities. • Exposure to cloud-based data platforms and analytics ecosystems within GCP and AWS. About Smart IT Frame: At Smart IT Frame, we connect top talent with leading organizations across the USA. With over a decade of staffing excellence, we specialize in IT, healthcare, and professional roles, empowering both clients and candidates to grow together 📩 Apply today or share profiles at dhamodharan@smartitframe.com