DATA SCIENTIST

• 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

• 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