Junior AI Data Scientist

Location: Charlotte, NC (100% Onsite)
Job Type: 3–6 Month Contract

Important Requirements

• Must be local to the Charlotte, NC market.
• Must be able to work onsite five days per week.
• W2 employment only.
• Recent college graduates are encouraged to apply.

Are you a recent college graduate with a passion for artificial intelligence, data analytics, and emerging technologies? We are seeking a motivated Junior Data Analyst to join a growing team focused on AI innovation and data-driven business solutions. This is an exciting opportunity to gain hands-on experience with Large Language Models (LLMs), SQL, and enterprise AI initiatives while working alongside experienced technology professionals.

• Analyze and interpret data using SQL to support business and AI initiatives.
• Assist with enhancing, testing, and validating AI-powered solutions built on Large Language Models (LLMs), including Claude.
• Perform quality assurance testing and evaluate AI-generated outputs for accuracy and effectiveness.
• Collaborate with technical teams and business stakeholders to customize AI solutions for various business functions.
• Apply statistical concepts such as mean, median, mode, trend analysis, and data interpretation to identify actionable insights.
• Support the development and continuous improvement of AI workflows and automation initiatives.
• Present technical findings clearly to both technical and non-technical audiences.
• Participate in multiple projects while learning and applying emerging AI technologies.

• Bachelor's degree in Data Analytics, Computer Science, Information Systems, Mathematics, Statistics, Business Analytics, or a related field.
• Recent graduates with relevant coursework, internships, research, or personal AI projects are encouraged to apply.
• Strong SQL skills and a solid understanding of data analysis fundamentals.
• Experience using AI tools such as Claude, ChatGPT, or other Large Language Models through coursework, internships, research, or personal projects.
• Understanding of AI concepts, prompt engineering, and practical business applications of LLMs.
• Familiarity with Model Context Protocol (MCP) or AI integrations is a plus.
• Excellent written and verbal communication skills.
• Strong analytical, organizational, and problem-solving abilities.
• Self-starter with a collaborative mindset and a desire to learn new technologies.

• Experience with Redshift or other SQL environments.
• Exposure to Python, data visualization tools, or business intelligence platforms.
• Academic, internship, or personal AI projects demonstrating the use of LLMs to solve business problems.

• Work on cutting-edge AI initiatives with modern technologies.
• Gain valuable enterprise experience with Large Language Models and data analytics.
• Collaborate with experienced technology professionals in a fast-paced environment.
• Build practical skills that will accelerate your career in AI and analytics.
• Contribute to impactful projects from day one.

This opportunity is ideal for an ambitious recent graduate or early-career professional looking to launch a career in artificial intelligence, data analytics, and emerging technologies while gaining meaningful, real-world experience.