The Data Scientist will leverage critical thinking and data analysis skills to develop Machine Learning models for detecting financial crime risks and synthesizing data requirements.
This is a remote position.
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 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
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Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
