Data Scientist Intern

OOCL USA Inc • San Jose, CA

9h • Onsite

About The Position

With our core values – People People People, Community Responsibility, Customer Focus, Excellence through Quality – we hope to empower our employees to achieve the mission of OOCL.

What is OOCL?

OOCL is one of the world's largest integrated international container transportation, logistics, and subsidiary companies. As one of Hong Kong's most recognized global brands, OOCL provides customers with fully integrated logistics and containerized transportation services, with a network that encompasses Asia, Europe, the Americas, Africa, and Australasia.

Requirements

• Strong data science and AI skills
• Strong verbal and written communication
• Collaboration and teamwork
• Currently pursuing or recent graduate of a Bachelor’s or Master’s degree in a relevant field (e.g., Data Science, Computer Science, Operations Research, Statistics, Applied Math)
• Coursework and/or project experience in data science (internship, co-op, research, or substantial class projects)

Nice To Haves

• Interest in logistics, supply chain, or a related industry is a plus

Responsibilities

• Data Analysis Support – Collect, clean, and validate operational data; surface trends and anomalies.
• Data Prep & Feature Engineering – Preprocess data, create basic features, and document repeatable transformations.
• ML/AI Development (with mentorship) – Prototype and evaluate models for forecasting and process improvement; maintain reproducible code.
• Business Problem Understanding – Translate stakeholder questions into analytics tasks; communicate insights and next steps.
• Supply Chain & Logistics Analytics – Analyze opportunities for efficiency and cost reduction; explore optimization with guidance.
• Data Visualization & Reporting – Build charts/dashboards and concise reports for technical and non-technical audiences.
• Cross-Functional Collaboration –Work with data science, engineering, and business teams to refine requirements, test solutions, and share progress.
• Learning & Growth –Use modern data science tools (stats, ML, GenAI) and apply them to business use cases.

What This Job Offers

• Career Level: Intern
• Number of Employees: 501-1,000 employees