Data Science Intern

Key Skills

Machine learning techniques, Deep Learning, Natural Language Processing (NLP), PyTorch, TensorFlow, Scikit-learn

Job Description

At Giant Oak, our goal is to empower people to make the world safer. We further this goal by identifying illicit behaviors, actors, and networks in big data environments. To do so effectively, we harness methods from statistics, computer science, and the behavioral sciences.

We are looking for a Data Science Intern to join the Science Team at Giant Oak. The Science Team is an interdisciplinary team of quantitative scientists that work on deep problems to make our products better. You will have the opportunity to apply your analytical and research skills to make a real impact.

Responsibilities

• Work with the Science Team to answer important product questions using statistical techniques
• Research bleeding-edge machine learning techniques
• Design, perform, and analyze experiments to improve products, features, and components
• Communicate findings and significance to cross-functional teams

Minimum Qualifications

• Currently has, or is pursuing, a Bachelor's degree in Computer Science or related technical field
• Experience solving analytical problems using data-driven approaches
• Self-motivated and willing to handle competing priorities in a fast-paced environment
• Ability to communicate actionable insights to stakeholders with varied technical backgrounds
• Must be eligible to work in the United States

Preferred Qualifications

• Currently has, or is pursuing, a Master's degree in Computer Science or related technical field
• Experience using machine learning and deep learning frameworks, such as scikit-learn, PyTorch, and/or TensorFlow
• Familiar with state-of-the-art information retrieval techniques
• Familiar with state-of-the-art NLP techniques