Data science and machine learning within cyber security is an exciting and fast evolving field which has seen rapid growth in the last few years. The Securonix SIEM provides a large amount of data from which we can extract insights and develop solutions which drive the industry forwards. Securonix Threat Science Team is a team of data scientists and research engineers producing data driven solutions to meet our business needs.
These needs include:
- The development and productization of new threat detection algorithms and the improvement of existing detection algorithms
Increase in the efficiency of our customer s ability to protect themselves by:
- Prioritizing threat relevant evidence/risk quantification
- Reducing alert volumes
- Quantifying product quality.
- Supporting internal business operations.
- Customer facing POCs.
- Responding to algorithmic failures in production algorithms produced by the team.
We are looking for a dedicated data scientist/senior data scientist that can conduct research, develop tools, and collaborate closely both within the team, and with product, engineering, and other departments. Please note that this is a data scientist role, and not an engineering position.
Responsibilities:
- Research and implement innovative tools for security decision support.
- Collaborate with multiple teams and support internal business requests.
- Conduct and support POCs with customers to gain and incorporate feedback, improving our offerings.
- Present research findings to internal and external stakeholders
- Conduct statistical and machine learning research to identify potentially malicious activity and work with threat hunters to verify findings, utilizing predominantly time series analysis, anomaly detection and unsupervised learning methods.
Qualifications:
- masters degree/PhD (or equivalent) in Statistics, Mathematics, Machine Learning, or other similar quantitative discipline.
- Experience conducting data-driven research, in real-world settings, for peer-reviewed publications and/or public code projects.
- Experience formulating research problems and assessing relevant literature
- Ability to code in Python, and ideally familiarity with PySpark and AWS (EMR, Glue, S3).
- Experience presenting research to stakeholders, and a mixture of both technical and non-technical audiences.
- Preferred experience with time series analysis, anomaly detection methods and unsupervised learning.
Benefits:
- Health Insurance with a total sum insured is INR 5,00,000
- Coverage: Self, Spouse, 2 kids, Dependent parents, or parents-in-law
- Personal Accident with total sum insured is INR 10,00,000
- Term Life Insurance with a sum assured for employees is 5 times fixed base pay is covered.
