Data Scientist / Generative AI Specialist

Job Title: Data Scientist / Generative AI Specialist

Location Charlotte, NC

Duration: long Term

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), Google Cloud Platform, 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 (Google Cloud Platform)
  • 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 Google Cloud Platform and AWS.