Company Description

International Machine Learning Olympiad (IMLO) is a global platform that has connected students passionate about machine learning and artificial intelligence for the past seven years. Originating as a student-led local competition, IMLO has grown into an international Olympiad that enables participants worldwide to demonstrate their technical skills. The organization focuses on creating opportunities for students to explore innovative ideas and collaborate on cutting-edge AI challenges. IMLO is committed to nurturing future leaders in AI by providing educational resources, mentorship, and real-world problem-solving experiences. Role Description The Data Science Intern role is a full-time remote position focused on supporting data-driven initiatives that enhance IMLO’s competitions, platforms, and community insights. Day-to-day tasks include collecting and cleaning data, performing exploratory data analysis, and applying basic statistical methods to derive actionable findings. The intern will assist in building and evaluating data science and analytics models, preparing visualizations and reports for internal stakeholders, and supporting experiment design to improve participant experience. This role also involves collaborating with mentors and team members, documenting methods and results, and contributing to research-oriented projects related to machine learning education and outreach.

Qualifications

Candidates should possess strong analytical skills and the ability to interpret complex data sets. Candidates should possess foundational knowledge of statistics and statistical reasoning. Candidates should possess core data science skills, including familiarity with machine learning concepts and modeling workflows. Candidates should possess data analytics and data analysis skills for exploring datasets, generating insights, and presenting findings. Familiarity with programming languages commonly used in data science (such as Python or R) and basic data visualization tools is beneficial. Current enrollment in or recent completion of a degree program in computer science, data science, statistics, mathematics, or a related field is preferred. Strong written and verbal communication skills, attention to detail, and the ability to work independently in a remote environment are important. Interest in machine learning competitions, AI research, and community-focused initiatives is a plus.