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Marktine logo

DATA SCIENTIST

Marktine
Posted 4 weeks ago
🌍Probably Worldwide🏠Remote📁Data & Analytics
Is this job info correct?

About Us We are a decision science organization assisting clients to leverage their under-utilized data in making complex business decisions successfully. We comprise of Data Enthusiasts (engineers, scientists visualizers), Business Consultants, and Sales Managers with a core focus to address your business growth via data. The most unique aspect of Data would be containing unique problems/opportunities even for organizations in the same sector. Since Marktine’s inception, we have worked with several sectors across Industries. We are still growing and consistently striving to improve to deliver world-class Data Assessment & Management Services. We do not follow a complex process rather strive to make complex data terminologies as simple as possible for our clients. From the team’s perspective, we adhere to complete industry standards following proper work-life balance among employees and provide the knowledge space for improvement. We encourage team building and follow a culture of innovation, transparency, and integrity. We are always open for the right enthusiasts to join our team. Job Description 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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