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