Leading Cybersecurity Data Scientist

6 days ago

Bengaluru, Karnataka, India beBeeDataAnalyst Full time ₹ 15,00,000 - ₹ 20,00,000
About the Role

We are seeking a skilled Data Analyst to join our team and contribute to developing cutting-edge solutions to detect and mitigate email-borne threats.

This role will be instrumental in enhancing our ability to detect sophisticated attacks, improve automation, and proactively safeguard our customers.

Key Responsibilities:
  • Design, develop, and implement data-driven models to detect and prevent email-based security threats.
  • Analyze large datasets of email communications to identify patterns, anomalies, and emerging threats.
  • Leverage behavioral pattern detection techniques to identify suspicious email activities and attack vectors.
  • Collaborate with security researchers, engineers, and threat intelligence teams to improve detection capabilities and reduce false positives.
  • Monitor, evaluate, and refine models to maintain high detection efficacy and adapt to evolving threats.
  • Develop and optimize feature extraction techniques tailored to identifying malicious emails, attachments, and URLs.
  • Work closely with software engineering teams to integrate data models into production systems.
  • Participate in cross-functional meetings, providing insights based on data analysis findings and contributing to proactive defense strategies.
  • Maintain and enhance data pipelines for training, deploying, and monitoring analytical models.
Required Skills and Qualifications
  • Total 10+ year's experience in software development with 5+ years of strong programming skills in Python, with experience in data science libraries such as TensorFlow, PyTorch, or Scikit-learn.
  • 5+ years of experience working with large-scale datasets and data processing frameworks (e.g., Spark, Hadoop, or SQL-based databases).
  • 3+ years of experience developing and deploying AI-driven models, with expertise in anomaly detection, NLP, and behavioral analysis.
  • Familiarity with reinforcement learning or adversarial data science techniques applied to cybersecurity.
  • Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools for model deployment and monitoring.
  • Strong analytical and problem-solving skills, with the ability to translate security challenges into data science solutions.
  • Excellent communication skills, with the ability to work collaboratively in cross-functional teams.
  • Bachelors or Masters degree in Computer Science, Data Science, Cybersecurity, or a related field.

Preferred Qualifications:

  • Experience in cybersecurity or working with threat intelligence teams.
  • Knowledge of advanced NLP techniques for analyzing email content and metadata.
  • Understanding of email security threats, including phishing, BEC, and malware distribution tactics.
  • Familiarity with email protocols (SMTP, IMAP, MIME) and cybersecurity frameworks.
  • Contributions to open-source cybersecurity or data science projects.
  • Excellent inter-personal and teamwork skills

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