Data Scientist

Qadium is looking for Data Scientists to join our Cyber Risk team. Qadium’s Cyber Risk team uses our proprietary remote sensing platform to analyze device data and develop quantitative models at scale. These models are then used to assess cyber security risks and vulnerabilities in organizations. Ideal candidates love working in and understanding big datasets, and have experience with quantitative modeling, analyzing and visualizing data, and adaptively solving problems. Candidates should also have a basic understanding of Internet protocols to be able to properly interact with our platform.

Responsibilities:

• Using device data from Qadium’s platform to develop cyber risk models and data visualizations
• Working with Qadium software engineers to scale algorithmic insights and develop predictive techniques to assess cybersecurity risks for large organizations

Requirements:

• Understanding of scripting languages (ideally Python) and experience with mathematical scripting languages (R, Matlab, Numpy, etc.) with a desire to learn more
• Experience applying machine learning and quantitative modeling to real-world data
• Knowledge of exploratory and explanatory data visualization techniques
• Knowledge of risk analysis
• Experience in cybersecurity/network protocols a plus
• A Bachelors' degree in Computer Science, Engineering, or a related field, or have equivalent experience

Please submit your resume and links to projects you've worked on.

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