Junior AI Data Scientist

Responsibilities

• Analyze and interpret data using SQL to support business and AI initiatives.
• Aid in 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.

Qualifications

• 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.

Preferred Qualifications

• 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.