Job Description

Overview:

Join S2 Global, an OSI Systems Company, as a Data Science Co-Op. S2 Global is the leading provider of security screening solutions and has extensive experience in program assessment, technology deployment, operation management, image analysis and maintenance services at major events, ports, land borders and air cargo facilities. Focused on Operations, Integration and Training, S2 Global's solutions ensure that customers have the advanced technologies and sophisticated techniques to significantly increase their screening capabilities.

As a Data Science Co-Op, you will gain hands-on experience developing cutting-edge algorithms for security and customs automation. You will work on data collection, processing, and analysis of large volumes of inspection data, contributing directly to projects that accelerate secure trade and travel.


Responsibilities:

Data Collection & Processing:

Contribute to the collection of data from optical imaging systems. Develop and maintain scalable data pipelines to support model training and inference.

Collaboration & Deployment:

Collaborate with science and engineering teams to deploy AI models in production environments. Monitor model performance and implement retraining strategies to ensure long-term accuracy and reliability.

Innovation & Research:

Participate in the development of algorithms for security and customs automation.
Support research and validation of new data science approaches to operational challenges.
Uphold the company's core values of Integrity, Innovation, Accountability, and Teamwork Demonstrate behavior consistent with the company's Code of Ethics and Conduct It is the responsibility of every employee to report to their manager or a member of senior management any quality problems or defects in order for corrective action to be implemented and to avoid recurrence of the problem Duties may be modified or assigned at any time to meet the needs of the business.

Qualifications:

REQUIREMENTS:

Recent graduate or active student in a Master's Degree program in Computer Science, Electrical Engineering, Physics, Mathematics, or a related quantitative field. Experience developing machine learning models for image analysis and deploying models in production. Proficiency with frameworks such as PyTorch and TensorFlow. Experience in Python and SQL; familiarity with object-oriented programming and version control (e.g., Git). Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) and cloud platforms (AWS, Azure, or GCP). Strong understanding of statistics, machine learning algorithms, and model evaluation techniques. Excellent communication skills and a proven ability to collaborate in cross-functional teams.

BENEFITS & CULTURE:

We offer an environment where innovation and technical excellence are highly valued. If you are passionate about shaping the future of security through data science, we would love to hear from you.