Malware Data Scientist
We are DuskRise
- DuskRise is a cybersecurity company currently expanding rapidly with global HQ in New York, and EMEA HQ in Rome.
Duskrise is specialized in remote network protection.
With an international team and the Cluster25 threat intelligence experts, the company delivers solutions extending enterprises' network protection beyond their offices.
**The Position
- Malware Data Scientist applies methods to detect cybersecurity risk and behavior.
Requires understanding of cyber security threats/methods to attack/compromise devices for exploit and ex-filtration.
Must be familiar with analysis of large, complex data sets, data cleansing/transformation methods and model creation technologies to detect target behaviors associated with cybersecurity events.
**Skills and Experience Required
- Manipulation of large data sets (structured, unstructured), data analysis, statistics, visualization, correlation (Big Data)
- Data Engineering and Data exploration, cleansing and transformation
- Arifical intelligence and machine learning modeling
- Application areas such as pattern recognition, anomaly detection, prediction, classification, self-learning, re-enforcement learning, deep learning understanding
- Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM)
- Model evaluation, modeling methods, model management and updating
- Large scale data set management
- Data analytics and modeling in Cloud environment
- Analytics and modeling tools, such as R, RStudio, Jupyter, Matlab, Spark
- Languages, such as Python, Ruby, C/C++, etc.
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