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 [email protected]