Remote Data Scientist focused on building machine learning models to detect financial crime risk and security threats, using big data frameworks, graph/NoSQL databases, and deep learning techniques.
The Data Intelligence & Analytics Analyst must demonstrate critical thinking, analytical and problem-solving abilities, hands-on intelligence or data analysis skills, network analysis acumen, and intellectual curiosity is essential for data science tasks.
The candidate must be able to apply these abilities to detect non-obvious risks or develop, test, and champion ideas to increase detection.
The candidate should understand data science methods, and visualization techniques to leverage internal and external data to identify and develop ways to systemically detect financial crime risk.
Research & develop Machine Learning models for security problems, in the areas of Networking, Application & Data.
Suggest, collect and synthesize requirements and create effective features.
Apply research methodologies to identify the Machine Learning models for the problem at hand.
Requirements
Preferred Qualifications:
Domain expertise in Networking ( TCP/IP, HTTP) , Web Application Security (Bot detection ) is preferred
Experience working with relational and NoSQL/Graph databases
Unsupervised & Deep Learning Experience
Familiar with Big Data frameworks (Hadoop or Spark) and cloud infrastructures
Experience in applying Machine Learning techniques
Ability and willingness to multi-task and learn new technologies quickly