Securonix is leading the evolution of SIEM for today’s hybrid cloud, data-driven enterprises. Securonix Unified Defense SIEM provides organizations with content-driven threat detection, investigation, and response (TDIR) solution built with a highly scalable data cloud and a unified experience from the analyst to the CISO. The innovative cloud-native solution enables organizations to scale up their security operations and keep up with evolving threats.

Securonix Unified Defense SIEM provides organizations with 365 days of ‘hot’ data for fast search and investigation, threat content-as-a-service, proactive defense with continuous peer and partner collaboration, and a unified Threat Detection, Investigation and Response (TDIR) experience, all in a single platform. The platform is built on a cloud native architecture and leverages the power of the Snowflake Data Cloud.

Summary:

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:

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  The development and productization of new threat detection algorithms and the improvement of existing detection algorithms
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  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.
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  Customer facing POCs.
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  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:

• Master’s 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:

As a full-time employee with Securonix, you will be eligible for the following employee 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.

Securonix, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws. Securonix complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, and transfer, leaves of absence, compensation and training.

Securonix expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability or veteran status. Improper interference with the ability of Securonix employees to perform their expected job duties is absolutely not tolerated.