M
Marktine Technology Solutions Pvt LtdListed on Himalayas
DATA SCIENTIST
Remote · United States
Source: Himalayas. This job was published on Himalayas; you apply there.
RemoteFull-timeMid levelData Science
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Estimated pay
Estimate$152K–$308K/yr
Estimate — the employer hasn't published pay.
Based on 72 similar mid-level DATA SCIENTIST jobs in United States that show pay. The range is the middle half of their posted pay (25th to 75th percentile), not an offer — ask the employer for the real range.
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At a glance
- Education
- Master's
Skills mentioned
machine learningnetworkingsecuritydeep learninghadoopnosqlspark
About the role
Category: Technology
Location:
Details
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