DATA SCIENTIST

Category: Technology Location: Responsibilities: - 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 researchmethodologies 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 Details Originally posted on Himalayas